This document describes a simplified SPICE behavioral model for nickel-metal hydride batteries. The model allows circuit designers to simulate battery charge and discharge characteristics over time. It accounts for voltage levels at different states of charge. The model parameters like capacity and number of cells can be adjusted based on specific battery specifications. Examples are provided to demonstrate simulating charge and discharge curves for a sample battery at different current rates.
This document describes a 3-phase AC motor model for simulation in SPICE.
[1] The model simplifies the motor's behavior using equivalent circuits to represent the torque, back-EMF, and mechanical parts of the motor. Torque and back-EMF are defined based on phase currents and angular speed.
[2] Key parameters like phase inductance, resistance, back-EMF constant, torque constant, and load current can be set to characterize different motors.
[3] The complete equivalent circuit model combines the frequency response, back-EMF generation, and mechanical torque production to simulate 3-phase motor behavior in SPICE simulations.
This document describes a simplified SPICE behavioral model for lead-acid batteries. The model allows circuit designers to simulate battery charge and discharge characteristics. It accounts for voltage versus state of charge and enables predicting battery runtime. Parameters like capacity, number of cells, and initial state of charge can be adjusted based on battery specifications. Simulation examples demonstrate charging, discharging, and voltage profiles for sample lead-acid batteries.
This document describes a simplified SPICE behavioral model for nickel-metal hydride batteries. It provides the model's benefits, features, concept, and how to set parameters based on battery specifications. Examples are given to simulate charge time, discharge time, voltage vs state of charge, and extending the model to multiple cells. Instructions are given on including the model in LTspice simulations.
This document describes a simplified SPICE behavioral model for lead-acid batteries. The model accounts for the battery voltage, state of charge characteristic to simulate charge and discharge times under various current rates. The model parameters like capacity, number of cells, and initial state of charge can be adjusted based on the battery specifications. Examples are provided to demonstrate simulating the charge time, discharge time, and voltage-state of charge characteristic of a sample lead-acid battery.
This document describes a lead-acid battery model and its discharge and charge characteristics. It provides specifications for a GS YUASA lead-acid battery including its nominal voltage of 6.0V, capacity of 100Ah at C10 rate and 65Ah at C1 rate. The document then shows discharge curves for the battery at various discharge rates from 0.1C to 1C and charge curves showing how the battery voltage and state of charge change over time when charged at 0.1C rate.
This document describes a simplified SPICE behavioral model for lithium-ion batteries. The model characterizes the battery using parameters like capacity and state of charge. It accounts for characteristics like charge/discharge time at different current rates and voltage versus state of charge. Examples are provided to model specific battery specifications and extend the model to multiple battery cells in series.
The document provides specifications and simulation results for a photovoltaic lead-acid battery system. It includes specifications for lead-acid batteries and solar cells, as well as simulation circuits and results for charging the batteries from the solar cells under different weather conditions over 24 hours. Key components are lead-acid batteries from GS YUASA, solar panels from BP Solar, and circuits to regulate charging and prevent overvoltage. Simulations examine effects of solar irradiance on charging time.
This document describes a simplified SPICE behavioral model for simulating fuse behavior. The model allows users to set parameters like current rating, fusing factor, internal resistance, and melting value based on datasheet specifications. Simulation results show fusing time varies with DC current level and different current waveforms based on I2t heating effects. A specific fuse model tailored for a part provides more accurate fusing time predictions than the general model.
This document describes a 3-phase AC motor model for simulation in SPICE.
[1] The model simplifies the motor's behavior using equivalent circuits to represent the torque, back-EMF, and mechanical parts of the motor. Torque and back-EMF are defined based on phase currents and angular speed.
[2] Key parameters like phase inductance, resistance, back-EMF constant, torque constant, and load current can be set to characterize different motors.
[3] The complete equivalent circuit model combines the frequency response, back-EMF generation, and mechanical torque production to simulate 3-phase motor behavior in SPICE simulations.
This document describes a simplified SPICE behavioral model for lead-acid batteries. The model allows circuit designers to simulate battery charge and discharge characteristics. It accounts for voltage versus state of charge and enables predicting battery runtime. Parameters like capacity, number of cells, and initial state of charge can be adjusted based on battery specifications. Simulation examples demonstrate charging, discharging, and voltage profiles for sample lead-acid batteries.
This document describes a simplified SPICE behavioral model for nickel-metal hydride batteries. It provides the model's benefits, features, concept, and how to set parameters based on battery specifications. Examples are given to simulate charge time, discharge time, voltage vs state of charge, and extending the model to multiple cells. Instructions are given on including the model in LTspice simulations.
This document describes a simplified SPICE behavioral model for lead-acid batteries. The model accounts for the battery voltage, state of charge characteristic to simulate charge and discharge times under various current rates. The model parameters like capacity, number of cells, and initial state of charge can be adjusted based on the battery specifications. Examples are provided to demonstrate simulating the charge time, discharge time, and voltage-state of charge characteristic of a sample lead-acid battery.
This document describes a lead-acid battery model and its discharge and charge characteristics. It provides specifications for a GS YUASA lead-acid battery including its nominal voltage of 6.0V, capacity of 100Ah at C10 rate and 65Ah at C1 rate. The document then shows discharge curves for the battery at various discharge rates from 0.1C to 1C and charge curves showing how the battery voltage and state of charge change over time when charged at 0.1C rate.
This document describes a simplified SPICE behavioral model for lithium-ion batteries. The model characterizes the battery using parameters like capacity and state of charge. It accounts for characteristics like charge/discharge time at different current rates and voltage versus state of charge. Examples are provided to model specific battery specifications and extend the model to multiple battery cells in series.
The document provides specifications and simulation results for a photovoltaic lead-acid battery system. It includes specifications for lead-acid batteries and solar cells, as well as simulation circuits and results for charging the batteries from the solar cells under different weather conditions over 24 hours. Key components are lead-acid batteries from GS YUASA, solar panels from BP Solar, and circuits to regulate charging and prevent overvoltage. Simulations examine effects of solar irradiance on charging time.
This document describes a simplified SPICE behavioral model for simulating fuse behavior. The model allows users to set parameters like current rating, fusing factor, internal resistance, and melting value based on datasheet specifications. Simulation results show fusing time varies with DC current level and different current waveforms based on I2t heating effects. A specific fuse model tailored for a part provides more accurate fusing time predictions than the general model.
This document describes a simplified SPICE model for simulating a DC motor. It includes 10 sections that describe: 1) the benefits of the model, 2) the model features, 3) how to set the model parameters, 4) an example motor specification, 5) simulating start up at normal load, 6) simulating start up at half load, 7) how the inductance parameter affects the model, 8) an application example, 9) how the inductance parameter affects the model, and 10) how the resistance parameter affects the model. The document provides information to help users set up and run simulations of a DC motor using the simplified SPICE model.
The document discusses PSpice simulations of lithium-ion battery circuits and applications. It provides specifications for a 65Wh lithium-ion battery pack, including capacity, rated current, input/output voltages, and charging time. It shows discharge curves from simulations at different discharge rates (0.2C, 0.5C, 1C) compared to measurement data. It also simulates the charge characteristics of the battery pack over time at a charge rate of 0.2C.
This document describes a simplified SPICE behavioral model for a saturable transformer. It provides an overview of the model concepts and parameters that characterize the saturable core and ideal transformer components of the model. These include BSAT, RLOSS, LM, and BEXP for the core, and N, RP, RS, and LP for the transformer. The document also provides examples of simulations using the model to demonstrate its hysteresis behavior under different excitation conditions.
This document describes a simplified SPICE behavioral model for a 3-phase DC/AC inverter. The model focuses on the input-output relationships and enables long-term system behavior simulation. It is characterized by parameters like minimum and maximum DC input voltages, AC output voltage, frequency, and efficiency. The document provides examples of parameter settings and simulations showing the input-output, line-to-line output, efficiency, and minimum DC input voltage characteristics.
This document summarizes the simulation of a DC motor control circuit. It describes the DC motor and timer IC models used in the simulation. It then analyzes the specifications, parameters, and transient responses of a sample RS-380PH motor at no load and under different load conditions. The simulations are compared to measurement data to validate the motor model. Settings for simulating the motor voltage and current are also provided.
This document describes a simplified SPICE behavioral model for lithium-ion capacitors. It includes the benefits of the model, the model features and concept, how to set the model parameters based on capacitor specifications, and an example of simulating charge and discharge time characteristics using a 1000F capacitor with 3.8V rating and comparing the simulation results to measurements.
Nickel-Metal Hydride Battery Simplified Simulink Model using MATLAB Tsuyoshi Horigome
This document describes a simplified Simulink model of a nickel-metal hydride (Ni-MH) battery. The model accounts for key battery characteristics including charge time, discharge time at different current rates, and voltage versus state of charge. It can be customized for different battery specifications by adjusting parameters like capacity and number of cells. Simulation results from the model match characteristics from battery datasheets. The model enables prediction of battery performance for use in circuit design and optimization.
This document describes a simplified SPICE behavioral model for a 3-phase DC/AC inverter. The model allows for transient simulation of the inverter's input-output characteristics without detailed circuitry. It is parameterized based on the inverter's specifications, such as voltage and efficiency ratings. Simulation examples are provided to demonstrate the inverter's output voltage, current, efficiency, and behavior at minimum input voltage.
This document describes a simplified SPICE model for simulating DC motors. It includes 10 sections that describe: 1) the benefits of the model, 2) the model features, 3) how to set the model parameters, 4) an example motor specification, 5) simulating motor start up at normal load, 6) simulating start up at half load, 7) how the motor inductance Lj affects simulations, 8) an application example circuit, 9) how the motor inductance Lm affects simulations, and 10) how the motor resistance Rm affects simulations. The document also provides an index of simulation examples.
The document is a device modeling report that summarizes the components, manufacturer, typical charge and discharge curves, and evaluation circuit of a thin-film micro-energy cell. It includes circuit simulation results showing the cell's recharge current and state of charge over time, as well as its discharge performance under different currents. Parameters for configuring the model are also defined.
This document describes a simplified SPICE model for simulating a DC motor. It includes 10 sections that describe: 1) the benefits of the model, 2) model features, 3) how to set parameters, 4) an example motor specification, 5) simulating start up at normal load, 6) simulating start up at half load, 7) how the parameter Lj affects simulations, 8) an application example, 9) how the parameter Lm affects simulations, and 10) how the parameter Rm affects simulations. The document provides information to help circuit designers simulate and test DC motors as loads in their circuit designs.
This document describes a simplified SPICE behavioral model for lithium-ion capacitors. The model allows circuit designers to predict performance by simulating charge and discharge times. It represents key capacitor specifications like capacity, ESR, and cutoff voltage. The model is parameterized so designers can adjust it to match real capacitor specifications. Simulations demonstrate how the model reproduces manufacturer charge and discharge time data at different currents.
Lead-Acid Battery Simplified Simulink Model using MATLAB Tsuyoshi Horigome
This document describes a simplified Simulink model of a lead-acid battery that can be used to simulate charge and discharge characteristics. The model accounts for battery voltage (Vbat) versus state of charge (SOC) and can simulate charge/discharge times at various current rates. It includes example simulations for a 50Ah battery showing charge time, discharge time waves at different discharge rates, and Vbat vs SOC curves. Instructions are provided on adjusting the model for different battery specifications by editing parameters like capacity and number of cells.
This document describes a simplified SPICE behavioral model for nickel-metal hydride batteries. It provides details on the model features and parameters, example specifications and simulations of charge/discharge time characteristics and voltage vs state of charge for 1 and 7 cell battery configurations. The model accounts for key battery characteristics and can be customized for different battery specifications.
This document describes a simplified SPICE behavioral model for nickel-metal hydride batteries. The model accounts for battery voltage over time during charge and discharge at various current rates. It can be customized for different battery specifications by adjusting a few key parameters like capacity, number of cells, and initial state of charge. Examples are provided demonstrating how to simulate common battery characteristics like charge time, discharge time, and voltage-state of charge relationship using the model.
Device Modeling of Li-Ion battery MATLAB/Simulink ModelTsuyoshi Horigome
This document describes a MATLAB/Simulink model of a lithium-ion battery that simulates various characteristics including charge time, discharge time at different current rates, and voltage vs. state of charge. The model uses parameters like capacity, number of cells, initial state of charge, and time scale. It outputs graphs of simulations comparing measurement data to modeled charge/discharge curves and voltage vs. state of charge. The model is intended to simulate battery behavior for use in other system models.
This document describes a simplified SPICE behavioral model for lithium-ion batteries. The model allows circuit designers to predict battery runtime and performance by modeling voltage over time at different charge and discharge rates. Key parameters like capacity, state of charge, and number of cells can be adjusted based on battery specifications. Examples are provided to demonstrate modeling charge/discharge times and voltage curves for sample battery configurations.
Simple Model of Ni-MH Battery Model using LTspicespicepark
This document describes a simplified SPICE behavioral model for nickel-metal hydride batteries. The model allows circuit designers to simulate battery performance over time based on battery specifications like capacity and state of charge. It accounts for relationships between voltage, capacity level, and charge/discharge rates. The model is parameterized so designers can adjust it to model different battery specs. Examples show how to set parameters and simulate charge/discharge curves and times for a sample battery.
This document describes a simplified SPICE behavioral model for simulating the operation of a DC power supply. The model allows users to specify parameters like rated power, maximum output voltage and current to characterize the power supply. It focuses on modeling the supply's behavior within its operating area. Simulations can then examine characteristics like how output voltage varies with load current or is limited by the maximum voltage parameter.
This document describes a simplified SPICE behavioral model for simulating the operation of a DC power supply. The model allows users to specify parameters like rated power, maximum output voltage and current. It represents the power supply's output voltage vs current characteristics within its operating range. The model saves time and costs compared to simulating the full circuit details. Library and symbol files provided with the model need to be copied to the LTspice simulation program folders. Examples are given to demonstrate simulating the power supply's operating area and rated output voltage characteristics.
The document describes a simplified SPICE behavioral model for simulating the behavior of fuses in circuits. The model allows users to set parameters like current rating, fuse factor, internal resistance, and normal melting value to simulate how long it takes a fuse to blow under different current conditions. Simulation results are presented demonstrating how fusing time varies based on steady direct current levels and different current waveforms providing the same peak current. Instructions are provided on installing the model libraries and symbols for use in SPICE simulations.
This document describes a simplified SPICE behavioral model for simulating fuse behavior. The model allows users to set parameters like current rating, fusing factor, internal resistance, and melting value based on datasheet specifications. Simulation results show fusing time varies with DC current level and different current waveforms based on I2t heating effects. A specific fuse model tailored for a part provides more accurate fusing time predictions than the general model.
This document describes a simplified SPICE model for simulating a DC motor. It includes 10 sections that describe: 1) the benefits of the model, 2) the model features, 3) how to set the model parameters, 4) an example motor specification, 5) simulating start up at normal load, 6) simulating start up at half load, 7) how the inductance parameter affects the model, 8) an application example, 9) how the inductance parameter affects the model, and 10) how the resistance parameter affects the model. The document provides information to help users set up and run simulations of a DC motor using the simplified SPICE model.
The document discusses PSpice simulations of lithium-ion battery circuits and applications. It provides specifications for a 65Wh lithium-ion battery pack, including capacity, rated current, input/output voltages, and charging time. It shows discharge curves from simulations at different discharge rates (0.2C, 0.5C, 1C) compared to measurement data. It also simulates the charge characteristics of the battery pack over time at a charge rate of 0.2C.
This document describes a simplified SPICE behavioral model for a saturable transformer. It provides an overview of the model concepts and parameters that characterize the saturable core and ideal transformer components of the model. These include BSAT, RLOSS, LM, and BEXP for the core, and N, RP, RS, and LP for the transformer. The document also provides examples of simulations using the model to demonstrate its hysteresis behavior under different excitation conditions.
This document describes a simplified SPICE behavioral model for a 3-phase DC/AC inverter. The model focuses on the input-output relationships and enables long-term system behavior simulation. It is characterized by parameters like minimum and maximum DC input voltages, AC output voltage, frequency, and efficiency. The document provides examples of parameter settings and simulations showing the input-output, line-to-line output, efficiency, and minimum DC input voltage characteristics.
This document summarizes the simulation of a DC motor control circuit. It describes the DC motor and timer IC models used in the simulation. It then analyzes the specifications, parameters, and transient responses of a sample RS-380PH motor at no load and under different load conditions. The simulations are compared to measurement data to validate the motor model. Settings for simulating the motor voltage and current are also provided.
This document describes a simplified SPICE behavioral model for lithium-ion capacitors. It includes the benefits of the model, the model features and concept, how to set the model parameters based on capacitor specifications, and an example of simulating charge and discharge time characteristics using a 1000F capacitor with 3.8V rating and comparing the simulation results to measurements.
Nickel-Metal Hydride Battery Simplified Simulink Model using MATLAB Tsuyoshi Horigome
This document describes a simplified Simulink model of a nickel-metal hydride (Ni-MH) battery. The model accounts for key battery characteristics including charge time, discharge time at different current rates, and voltage versus state of charge. It can be customized for different battery specifications by adjusting parameters like capacity and number of cells. Simulation results from the model match characteristics from battery datasheets. The model enables prediction of battery performance for use in circuit design and optimization.
This document describes a simplified SPICE behavioral model for a 3-phase DC/AC inverter. The model allows for transient simulation of the inverter's input-output characteristics without detailed circuitry. It is parameterized based on the inverter's specifications, such as voltage and efficiency ratings. Simulation examples are provided to demonstrate the inverter's output voltage, current, efficiency, and behavior at minimum input voltage.
This document describes a simplified SPICE model for simulating DC motors. It includes 10 sections that describe: 1) the benefits of the model, 2) the model features, 3) how to set the model parameters, 4) an example motor specification, 5) simulating motor start up at normal load, 6) simulating start up at half load, 7) how the motor inductance Lj affects simulations, 8) an application example circuit, 9) how the motor inductance Lm affects simulations, and 10) how the motor resistance Rm affects simulations. The document also provides an index of simulation examples.
The document is a device modeling report that summarizes the components, manufacturer, typical charge and discharge curves, and evaluation circuit of a thin-film micro-energy cell. It includes circuit simulation results showing the cell's recharge current and state of charge over time, as well as its discharge performance under different currents. Parameters for configuring the model are also defined.
This document describes a simplified SPICE model for simulating a DC motor. It includes 10 sections that describe: 1) the benefits of the model, 2) model features, 3) how to set parameters, 4) an example motor specification, 5) simulating start up at normal load, 6) simulating start up at half load, 7) how the parameter Lj affects simulations, 8) an application example, 9) how the parameter Lm affects simulations, and 10) how the parameter Rm affects simulations. The document provides information to help circuit designers simulate and test DC motors as loads in their circuit designs.
This document describes a simplified SPICE behavioral model for lithium-ion capacitors. The model allows circuit designers to predict performance by simulating charge and discharge times. It represents key capacitor specifications like capacity, ESR, and cutoff voltage. The model is parameterized so designers can adjust it to match real capacitor specifications. Simulations demonstrate how the model reproduces manufacturer charge and discharge time data at different currents.
Lead-Acid Battery Simplified Simulink Model using MATLAB Tsuyoshi Horigome
This document describes a simplified Simulink model of a lead-acid battery that can be used to simulate charge and discharge characteristics. The model accounts for battery voltage (Vbat) versus state of charge (SOC) and can simulate charge/discharge times at various current rates. It includes example simulations for a 50Ah battery showing charge time, discharge time waves at different discharge rates, and Vbat vs SOC curves. Instructions are provided on adjusting the model for different battery specifications by editing parameters like capacity and number of cells.
This document describes a simplified SPICE behavioral model for nickel-metal hydride batteries. It provides details on the model features and parameters, example specifications and simulations of charge/discharge time characteristics and voltage vs state of charge for 1 and 7 cell battery configurations. The model accounts for key battery characteristics and can be customized for different battery specifications.
This document describes a simplified SPICE behavioral model for nickel-metal hydride batteries. The model accounts for battery voltage over time during charge and discharge at various current rates. It can be customized for different battery specifications by adjusting a few key parameters like capacity, number of cells, and initial state of charge. Examples are provided demonstrating how to simulate common battery characteristics like charge time, discharge time, and voltage-state of charge relationship using the model.
Device Modeling of Li-Ion battery MATLAB/Simulink ModelTsuyoshi Horigome
This document describes a MATLAB/Simulink model of a lithium-ion battery that simulates various characteristics including charge time, discharge time at different current rates, and voltage vs. state of charge. The model uses parameters like capacity, number of cells, initial state of charge, and time scale. It outputs graphs of simulations comparing measurement data to modeled charge/discharge curves and voltage vs. state of charge. The model is intended to simulate battery behavior for use in other system models.
This document describes a simplified SPICE behavioral model for lithium-ion batteries. The model allows circuit designers to predict battery runtime and performance by modeling voltage over time at different charge and discharge rates. Key parameters like capacity, state of charge, and number of cells can be adjusted based on battery specifications. Examples are provided to demonstrate modeling charge/discharge times and voltage curves for sample battery configurations.
Simple Model of Ni-MH Battery Model using LTspicespicepark
This document describes a simplified SPICE behavioral model for nickel-metal hydride batteries. The model allows circuit designers to simulate battery performance over time based on battery specifications like capacity and state of charge. It accounts for relationships between voltage, capacity level, and charge/discharge rates. The model is parameterized so designers can adjust it to model different battery specs. Examples show how to set parameters and simulate charge/discharge curves and times for a sample battery.
This document describes a simplified SPICE behavioral model for simulating the operation of a DC power supply. The model allows users to specify parameters like rated power, maximum output voltage and current to characterize the power supply. It focuses on modeling the supply's behavior within its operating area. Simulations can then examine characteristics like how output voltage varies with load current or is limited by the maximum voltage parameter.
This document describes a simplified SPICE behavioral model for simulating the operation of a DC power supply. The model allows users to specify parameters like rated power, maximum output voltage and current. It represents the power supply's output voltage vs current characteristics within its operating range. The model saves time and costs compared to simulating the full circuit details. Library and symbol files provided with the model need to be copied to the LTspice simulation program folders. Examples are given to demonstrate simulating the power supply's operating area and rated output voltage characteristics.
The document describes a simplified SPICE behavioral model for simulating the behavior of fuses in circuits. The model allows users to set parameters like current rating, fuse factor, internal resistance, and normal melting value to simulate how long it takes a fuse to blow under different current conditions. Simulation results are presented demonstrating how fusing time varies based on steady direct current levels and different current waveforms providing the same peak current. Instructions are provided on installing the model libraries and symbols for use in SPICE simulations.
This document describes a simplified SPICE behavioral model for simulating fuse behavior. The model allows users to set parameters like current rating, fusing factor, internal resistance, and melting value based on datasheet specifications. Simulation results show fusing time varies with DC current level and different current waveforms based on I2t heating effects. A specific fuse model tailored for a part provides more accurate fusing time predictions than the general model.
Simple Model of Lead-Acid Battery Model using PSpicespicepark
This document describes a simplified SPICE behavioral model for lead-acid batteries. The model allows circuit designers to predict battery runtime and performance by accounting for characteristics like voltage over state of charge. It can be adjusted for different battery specifications by editing parameters provided in datasheets, like capacity and number of cells. The model concept involves characterizing the battery by parameters like capacity and state of charge, and including an analog behavioral model for open-circuit voltage versus state of charge. Examples are provided to demonstrate setting parameters and simulating charge/discharge time characteristics for a sample lead-acid battery specification.
Simple Model of Lead-Acid Battery Model using LTspicespicepark
This document describes a simplified SPICE behavioral model for lead-acid batteries. The model accounts for the battery voltage, state of charge characteristic to simulate charge and discharge times under various current rates. The model parameters like capacity, number of cells, and initial state of charge can be adjusted based on the battery specifications. Examples are provided to demonstrate simulating the charge time, discharge time, and voltage-state of charge characteristic of a sample lead-acid battery.
This document describes a 3-phase AC motor model for simulation in SPICE. It includes:
1) Definitions of torque and back-EMF constants based on rated current and maximum speed.
2) A simplified 3-phase AC motor model showing the relationships between phase voltages, currents, torque, back-EMF, and angular speed.
3) An equivalent circuit diagram of the motor model including impedance, back-EMF voltage, and mechanical parts.
Li-ion Capacitor Model (Simplified Model) PSpice VersionTsuyoshi Horigome
This document describes a simplified SPICE behavioral model for lithium-ion capacitors. The model allows circuit designers to predict performance by simulating charge and discharge times. It represents the capacitor using parameters like capacity, ESR, and state of charge. The document provides examples of using the model, including simulating the charge and discharge curves of a sample 1000F capacitor under 5A current.
Lithium Ion Phosphate(Li-FePO4) Battery Simplified SPICE Behavioral Model(LTs...Tsuyoshi Horigome
This document provides information about a simplified SPICE behavioral model for lithium ion phosphate batteries, including:
- An overview of the model's benefits and features such as predicting battery performance by adjusting parameters.
- Descriptions of the model's concept using an equivalent circuit and characterizing the battery with parameters like capacity and state of charge.
- Examples of simulating charge/discharge times and voltage vs. state of charge for batteries at different current rates and extending the model to multiple battery cells in series.
This document describes the components and simulation of a photovoltaic (PV) nickel-metal hydride (Ni-MH) battery system. It includes specifications for Ni-MH battery packs and solar photovoltaic panels. The document outlines simulation circuits and results for charging the batteries from the solar panels under different weather conditions. It also simulates and charts the short-circuit current, battery state of charge, and system output over a 24-hour period to analyze the full PV-battery system performance.
The document discusses SPICE models for simulating various battery applications and circuits. It includes SPICE models for lithium-ion batteries, nickel-hydrogen batteries, and lead-acid batteries. It demonstrates how to simulate charging and discharging curves for these different battery types by setting model parameters like capacity, number of cells, state of charge, and time scale. The document also provides examples of simulating battery packs with multiple cells in series.
This document provides specifications and simulation results for a photovoltaic (PV) nickel-metal hydride (Ni-MH) battery system. It includes specifications for Ni-MH battery packs and solar photovoltaic panels. Simulation circuits and results are shown for charging the batteries from the solar panels under different conditions. Additional simulations model the full PV-battery system over a 24-hour period to analyze charging based on changing solar intensity over time. The document contains detailed specifications, modeling parameters, and simulation results to evaluate performance of the PV-NiMH battery system.
This document describes a simplified SPICE behavioral model for a LiFePO4 battery that can be used to simulate battery charge and discharge characteristics. The model uses parameters like capacity, state of charge, number of cells, and a time scaling factor to represent the battery. Examples of simulations showing the battery's charge time, discharge time, and voltage vs capacity curves at different discharge rates are included to demonstrate the model.
This document describes a simplified SPICE behavioral model for a LiFePO4 battery that can be used to simulate battery charge and discharge characteristics. The model uses parameters like capacity, state of charge, number of cells, and a time scaling factor to represent the battery. Examples are provided to demonstrate simulating the battery's charge time, discharge time, and voltage versus capacity curves at different discharge rates. The model allows predicting the battery's performance under various conditions without complex electrochemical calculations.
Device Modeling of Li-Ion battery MATLAB/Simulink ModelTsuyoshi Horigome
This document describes a MATLAB/Simulink model of a lithium-ion battery that simulates the battery's charge and discharge characteristics over time. The model accounts for parameters like battery capacity, state of charge, and number of cells. It can be used to simulate the battery's voltage over time during charging and discharging at different current rates. The document provides the model schematic, explains the modeling concepts, and shows examples of simulation results for charge time, discharge time, and voltage versus state of charge.
The document discusses lithium-ion battery simulation. It provides information on a lithium-ion battery pack specification including capacity, rated current, input/output voltages, and charging time. It also shows discharge time characteristics for the battery pack at different discharge rates as well as single cell discharge characteristics from measurement and simulation data. Finally, it shows the charge time characteristics for charging the battery pack at a 0.2C rate.
Lithium Ion Battery Simplified Simulink Model using MATLABTsuyoshi Horigome
This document provides information on a simplified Simulink model of a lithium-ion battery, including:
- An overview of the model's benefits, features, and concept involving characterizing the battery by parameters like capacity, state of charge, and number of cells.
- Examples of simulating charge/discharge time characteristics and voltage vs. state of charge for a sample 1400mAh battery under different current rates.
- Instructions for extending the model to simulate batteries with multiple cells in series by adjusting the number of cells parameter.
- Simulation settings used for examples of charging, discharging, and plotting voltage vs. state of charge.
This document contains the syllabus and procedures for experiments in the Electrical Machines I Lab. The experiments focus on obtaining characteristics of DC machines like generators and motors, as well as transformers. Key experiments include open/load characteristics of DC generators and motors, efficiency tests, and open/short circuit tests for transformers. Precautions are outlined and tabular columns provided to record readings and calculate performance parameters like efficiency.
This document contains the syllabus and procedures for experiments in the Electrical Machines I Lab. The experiments focus on obtaining characteristics of DC machines like generators and motors, as well as load tests to determine efficiency. Key experiments include open/load characteristics of DC generators and motors, Swinburne's test on DC shunt motors, and load tests to find efficiency of DC shunt and compound motors. Procedures provide connections, precautions and step-by-step methods for collecting data and analyzing results for each experiment.
The document provides details on designing a photovoltaic (PV) lithium-ion battery system, including:
1) Specifications for the lithium-ion battery pack and solar PV module.
2) Simulation circuits to model charging the battery from the solar panel under different weather conditions.
3) A simulation of the full PV-battery system over 24 hours using actual solar radiation data to analyze system performance over time.
Concept Kit 3-Phase AC Motor Drive Simulation (LTspice Version)Tsuyoshi Horigome
This document contains a conceptual kit and LTspice simulation for modeling a 3-phase AC motor drive system. It includes specifications for a Motenergy ME0913 motor and describes modeling the motor using an equivalent circuit representation. The simulation circuit analyzes motor operation under varying load conditions. Simulation results show characteristics of phase current, back-EMF, speed, and torque at different load levels including the rated continuous current of 140 Arms. Appendices provide details on measuring points, evaluation, gate signals, model text, and simulation settings.
Li-ion Capacitor Model (Simplified Model) LTspice VersionTsuyoshi Horigome
This document describes a simplified SPICE behavioral model for lithium-ion capacitors. It includes the benefits of the model, the model features and concept, how to set the model parameters based on capacitor specifications, and an example of simulating charge and discharge time characteristics using a 1000F capacitor with 3.8V rating and comparing the simulation results to measurements.
Concept Kit 3-Phase AC Motor Drive Simulation (PSpice Version)Tsuyoshi Horigome
This document provides an overview of modeling a 3-phase AC motor for electric drive system simulation in PSpice. It includes the motor specifications, modeling of torque and back-EMF, a simplified 3-phase AC motor model, the equivalent circuit model, and appendices describing simulation settings and evaluation. The modeling aims to simulate phase current, back-EMF, speed, torque, power output and efficiency characteristics of the 3-phase AC motor under different load conditions.
Concept Kit 3-Phase AC Motor Drive Circuit Simulation (LTspice Version)Tsuyoshi Horigome
This document provides a model and simulation of a 3-phase AC motor. It includes specifications for a Motenergy ME0913 motor and defines the torque, back-EMF, and equivalent circuit model. Simulation results show characteristics of phase current, back-EMF, speed and torque under varying load conditions. The model and simulation analyze motor operation powered by alternating voltage variations.
Lithium Ion Battery Simplified Simulink Model using MATLABTsuyoshi Horigome
This document describes a simplified Simulink model of a lithium-ion battery. It includes the model features, concept, pin configurations, and examples of simulating charge/discharge time characteristics and voltage vs state of charge curves. The model parameters like capacity, number of cells, state of charge, and time scale can be adjusted. Simulation results are shown for examples of charging, discharging at different rates, and the voltage-capacity relationship matching datasheet specifications. Extending the number of cells in series is also demonstrated.
Similar to Simple Model of Ni-MH Battery Model using PSpice (20)
This document provides an inventory list of MOSFET devices from various manufacturers including Fuji Electric, Hitachi, Infineon, International Rectifier, NEC, Panasonic, ROHM, SANYO, SHINDENGEN, and TOSHIBA. The list includes 585 total MOSFET parts with information on the manufacturer, part number, polarity, model type, and date the device information was last updated. The full document provides additional details on the MOSFET devices in the inventory.
This document provides a parts inventory list for Spicepark with descriptions and quantities of various electronic components. It includes 4,079 total parts, categorized by semiconductor devices, passive parts, batteries, mechanical parts, motors, and lamps. The semiconductor section lists various diodes, transistors, integrated circuits and other devices, along with their manufacturer, model, thermal characteristics and update dates.
This document provides a list of 577 MOSFET parts from various manufacturers such as Fuji Electric, Hitachi, Infineon Technologies, International Rectifier, NEC, Panasonic, ROHM, SANYO, SHINDENGEN, and TOSHIBA. For each part, the manufacturer, part number, polarity (P-channel or N-channel), model type, and date the information was last updated are provided. The document is copyrighted and reserved by Bee Technologies Inc.
This document provides an inventory list of 4,071 parts from Spicepark as of July 2013. It includes semiconductor components like diodes, transistors, integrated circuits, as well as passive components, batteries, mechanical parts, motors, and lamps. For each part number, the document specifies the manufacturer, model, thermal characteristics, and last update date. The majority of the parts are rectifier diodes from manufacturers like Fairchild, InterSil, ROHM, and Shindengen.
This document provides a parts inventory list from Spice Park with 4,051 total items. It includes summaries of semiconductor components, passive parts, batteries, mechanical parts, motors, and lamps. The semiconductor section lists different types of diodes, transistors, ICs and other components along with manufacturer details.
This document provides a summary of parts inventory for Spice Park, including 4,051 total parts. It lists various semiconductors like transistors, diodes, integrated circuits. It also lists passive components like resistors, capacitors, coils. Additionally, it provides a table listing 158 types of MOSFET parts with information on manufacturer, part number, and model. The document appears to be a company's internal inventory report.
This document provides a parts list and specifications for 29 zener diode part numbers from Toshiba and Panasonic. It includes the part number, manufacturer, zener voltage range, maximum current rating, model type, and date the information was updated. The majority are Toshiba zener diodes with zener voltages ranging from 2.05V to 58.3V and maximum currents of 0.005A to 10A.
This document provides a parts list and specifications for components used in electronic products. It includes 282 general purpose diode parts from various manufacturers such as Fairchild, Fuji, International Rectifier, Intersil, and ROHM. For each part number, the manufacturer, model, thermal characteristics, and date are specified. The document aims to catalog semiconductor and passive components for reference and design purposes.
The document provides design details for a critical conduction mode power factor correction (PFC) circuit. It includes:
1) An introduction describing the need for power factor correction to draw sinusoidal current in phase with input voltage for improved power factor.
2) An application circuit diagram for a 400V/200W PFC circuit using a TB6819AFG controller IC along with component values and simulation parameters.
3) Explanations of techniques used including time scaling to speed up simulations and modeling of a common mode choke coil.
4) An 8-step design process covering the output voltage feedback, output capacitor sizing, inductor, input capacitor, auxiliary winding, current/zero current detection
This document discusses simulations of motor drive control using SPICE. It describes AC motor drive control simulation using a concept kit and simple model. It also describes DC and stepping motor drive control simulations using simple models. It provides an introduction to motor drive control device modeling services and includes a Q&A section. Simulation examples are presented for an AC motor model showing current, back-EMF voltage, speed, torque, output power and efficiency characteristics under different load conditions. Parameters for DC motor models are also discussed.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
2. Contents
1. Benefit of the Model
2. Model Feature
3. Concept of the Model
4. Parameter Settings
5. Ni-Mh Battery Specification (Example)
5.1 Charge Time Characteristic
5.2 Discharge Time Characteristic
5.3 Vbat vs. SOC Characteristic
6. Extend the number of Cell (Example)
6.1 Charge Time Characteristic, NS=7
6.2 Discharge Time Characteristic, NS=7
Simulation Index
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 2
3. 1. Benefit of the Model
• The model enables circuit designer to predict and optimize Ni-MH
battery runtime and circuit performance.
• The model can be easily adjusted to your own Ni-MH battery
specifications by editing a few parameters that are provided in the
datasheet.
• The model is optimized to reduce the convergence error and the
simulation time.
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 3
4. 2. Model Feature
• This Ni-MH Battery Simplified SPICE Behavioral Model is for users who
require the model of a Ni-MH Battery as a part of their system.
• The model accounts for Battery Voltage(Vbat) vs. Battery Capacity Level (SOC)
Characteristic, so it can perform battery charge and discharge time at
various current rate conditions.
• As a simplified model, the effects of cycle number and temperature are
neglected.
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 4
5. 3. Concept of the Model
Ni-Mh battery +
Simplified SPICE Behavioral Model
[Spec: C, NS]
Output
Characteristics
Adjustable SOC [ 0-1(100%) ]
-
• The model is characterized by parameters: C which represent the battery
capacity and SOC which represent the battery initial capacity level.
• Open-circuit voltage (VOC) vs. SOC is included in the model as an analog
behavioral model (ABM).
• NS (Number of Cells in series) is used when the Ni-mh cells are in series to
increase battery voltage level.
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 5
6. 4. Parameter Settings
Model Parameters:
C is the amp-hour battery capacity [Ah]
– e.g. C = 0.3, 1.4, or 2.8 [Ah]
NS is the number of cells in series
+ - N I-M H _ B A T T E R Y – e.g. NS=1 for 1 cell battery, NS=2 for 2 cells battery
TS C A LE = 1 (battery voltage is double from 1 cell)
U 1 C = 1350M
SO C = 1 SOC is the initial state of charge in percent
N S = 1 – e.g. SOC=0 for a empty battery (0%), SOC=1 for a full
charged battery (100%)
(Default values) TSCALE turns TSCALE seconds(in the real world) into a
second(in simulation)
– e.g. TSCALE=60 turns 60s or 1min (in the real world)
into a second(in simulation), TSCALE=3600 turns 3600s
or 1h into a second.
• From the Ni-Mh Battery specification, the model is characterized by setting parameters
C, NS, SOC and TSCALE.
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 6
7. 5. Ni-Mh Battery Specification (Example)
Nominal Voltage 1.2V
Typical 1350mAh
Capacity
+ - N I-M H _ B A T T E R Y
TSC A LE = 1 Minimum 1250mAh
U 1 SO C = 1
C = 1350M Charging Current × Time 1350mA × about 1.1h
N S = 1
Discharge cut-off voltage 1.0V
Battery capacity
Battery capacity
[Typ.] is input as aa
[Typ.] is input as
model parameter
model parameter
• The battery information refer to a battery part number HF-A1U of SANYO.
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 7
8. 5.1 Charge Time Characteristic
Measurement Simulation
1. 8V
1. 7V
1. 6V
1. 5V
Charge: 1350mA
1. 4V
1. 3V
1. 2V
1. 1V
1. 0V
0s 10s 20s 30s 40s 50s 60s 70s 80s
V( HI )
(min.)
Ti me
+ - N I-M H _ B A T T E R Y
• Charging Current: 1350mA × about 1.1h
TS C A LE = 60
U 1 C = 1350M
SO C = 0 SOC=0 means
SOC=0 means
N S = 1 battery start from 0%
battery start from 0%
of capacity (empty)
of capacity (empty)
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 8
9. 5.1 Charge Time Characteristic
− Simulation Circuit and Setting
PARAMETERS:
ra te = 1
C Ah = 1350m
H I
Charge Voltage
Charge Voltage
C 1
OUT+
V in OUT- 10n
3V
0 IB A TT
IN+
IN-
G 1
L im it ( V ( % I N + , % I N - ) / 1 m , 0 , r a t e * C A h ) 0
0 + - N I-M H _ B A T T E R Y
TSC ALE = 60
AAconstant current charger at
constant current charger at U 1 C = 1350M
rate of capacity (e.g. SO C = 0
rate of capacity (e.g. 11minute into aa
N S = 1 minute into
1×1350mA)
1×1350mA) second (in simulation)
second (in simulation)
*Analysis directives:
.TRAN 0 62 0 25m
.PROBE V(*) I(*) W(*) D(*) NOISE(*)
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 9
10. 5.2 Discharge Time Characteristic
• Battery voltage vs. time are simulated at 0.2C, 1.0C, and 2.0C discharge rates.
1. 6V
PARAMETERS:
ra te = 1
C Ah = 1350m 1. 5V
sense
H I
1. 4V
C 1 0
IN+ OUT+ 10n + - N I-M H _ B A T T E R Y
TS C A LE = 60
IN- OUT- 0 U 1 C = 1350M 1. 3V
G 1 SO C = 1 0.2C
G VALU E N S = 1
lim it ( V ( % I N + , % I N - ) / 1 m , 0 , r a t e * C A h )
1. 2V
0 TSCALE turns 11minute into aa
TSCALE turns minute into 1C
second(in simulation), battery starts
second(in simulation), battery starts 1. 1V
from 100% of capacity (fully
from 100% of capacity (fully
charged)
charged) 2C
1. 0V
0. 9V
*Analysis directives: 0s 60s
V( HI )
120s 180s 240s 300s 360s
(min.)
.TRAN 0 360 0 100m Ti me
.STEP PARAM rate LIST 0.2,1,2
.PROBE V(*) I(*) W(*) D(*) NOISE(*)
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 10
11. 5.3 Vbat vs. SOC Characteristic
Measurement Simulation
1.6
0.2C (270mA)
1.5 1.0C (1350mA)
2.0C (2700mA)
1.4
1.3
1.2
1.1 270mA
1350mA
C
V
g
a
o
e
1.0 2700mA
]
[
t
l
0.9
0 250 500 750 1000 1250 1500
Discharge Capacity [mAh]
Simulation
1.2
+ - N I-M H _ B A T T E R Y
1.0
TS C A LE = 60
U 1 C = 1350M 0.8
SO C = 1 0.6
N S = 1 0.4
Mesurement
0.2
C
A
• Nominal Voltage: 1.2V
p
a
u
y
c
Simulation
t
i
l
%
C
R
0.0
p
d
e
a
o
y
c
)
(
t
f
i
• Capacity: 1350mAh 0 1 2 3 4 5
• Discharge cut-off voltage: 1.0V Discharge Rate (Multiples of C)
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 11
12. 5.3 Vbat vs. SOC Characteristic
− Simulation Circuit and Setting
PARAMETERS:
ra te = 0 .2
C Ah = 1350m
sense
H I
C 1 0
IN+ OUT+ AAconstant current
constant current 10n + - N I-M H _ B A T T E R Y
discharger at rate of TSC ALE = 60
IN- OUT- discharger at rate of 0 U 1 C = 1350M
G 1
capacity (e.g. 1×1350mA)
capacity (e.g. 1×1350mA) SO C = 1
G VALU E N S = 1
lim it ( V ( % I N + , % I N - ) / 1 m , 0 , r a t e * C A h ) 11minute into aa
minute into
second (in simulation)
second (in simulation)
0
*Analysis directives:
.TRAN 0 296.4 0 100m
.PROBE V(*) I(*) W(*) D(*) NOISE(*)
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 12
13. 6. Extend the number of Cell (Example)
Ni-MH needs 77
Ni-MH needs
cells to reach
cells to reach
this voltage level
this voltage level
Basic Specification
+ - N I-M H _ B A T T E R Y
TS C A LE = 3600 Voltage - Rated 8.4V
U 1 SO C = 1
C = 1500M
Capacity 1500mAh
N S = 7
The number of
The number of Structure 1 Row x 7 Cells Side to Side
cells in series is
cells in series is
input as aamodel
input as model Number of Cells 7
parameter
parameter
Voltage − Rated 8.4
NS = =
Ni - MH Nominal Voltage 1.2
• The battery information refer to a battery part number HHR-150AAB01F7
of Panasonic.
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 13
14. 6.1 Charge Time Characteristic, NS=7
The battery needs 5 hours to be fully charged
12. 6V
11. 9V
11. 2V
10. 5V
Voltage
9. 8V
9. 1V
8. 4V
7. 7V
7. 0V
0s 1s 2s 3s 4s 5s 6s 7s 8s 9s 10s
V( HI ) (hour)
Ti me
• Charging Current: 300mA (0.2 Charge)
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 14
15. 6.1 Charge Time Characteristic, NS=7
− Simulation Circuit and Setting
PARAMETERS:
ra te = 0 .2
C Ah = 1500m
H I
Charge Voltage
Charge Voltage
C 1
OUT+
V in OUT- 10n
12V
0 IB A TT
IN+
IN-
G 1
L im it ( V ( % I N + , % I N - ) / 1 m , 0 , r a t e * C A h ) 0
0 + - N I-M H _ B A T T E R Y
TSC ALE = 3600
U 1 C = 1500M
SO C = 0
N S = 7
11hour into aasecond
hour into second
(in simulation)
(in simulation)
*Analysis directives:
.TRAN 0 5.2 0 2.5m
.PROBE V(*) I(*) W(*) D(*) NOISE(*)
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 15
16. 6.2 Discharge Time Characteristic, NS=7
11. 2V
10. 5V
9. 8V
9. 1V
0.2C
8. 4V
0.5C
7. 7V 1C
7. 0V
6. 3V
0s 1. 0s 2. 0s 3. 0s 4. 0s 5. 0s 6. 0s
V( HI ) (hour)
Ti me
• Voltage - Rated: 8.4V
• Discharging Current: 300mA(0.2C), 750mA(0.5C), 1500mA(1.0C)
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 16
17. 6.2 Discharge Time Characteristic, NS=7
− Simulation Circuit and Setting
Parametric sweep
Parametric sweep
“rate” for multiple rate
“rate” for multiple rate
discharge simulation
discharge simulation
PARAMETERS:
ra te = 1
C Ah = 1500m
sense
H I
C 1 0
IN+ OUT+ 10n + - N I-M H _ B A T T E R Y
TSC A LE = 3600
IN- OUT- 0 U 1 C = 1500M
G 1 SO C = 1
G VALU E N S = 7
lim it ( V ( % I N + , % I N - ) / 1 m , 0 , r a t e * C A h ) 11hour into aasecond
hour into second
(in simulation)
(in simulation)
0
*Analysis directives:
.TRAN 0 6 0 2.5m
.STEP PARAM rate LIST 0.2,0.5,1
.PROBE V(*) I(*) W(*) D(*) NOISE(*)
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 17
18. Simulation Index
Simulations Folder name
1. Charge Time Characteristic................................. Charge_Time
2. Discharge Time Characteristic............................. Discharge_Time
3. Vbat vs. SOC Characteristic.................................. Discharge_SOC
4. Charge Time Characteristic, NS=7....................... Charge_Time(NS)
5. Discharge Time Characteristic, NS=7................... Discharge_Time(NS)
All Rights Reserved Copyright (C) Bee Technologies Corporation 2011 18