1) The document discusses research on improving fuel efficiency in vehicles through hybridization, including modeling of electrochemical double layer capacitors and battery systems.
2) A holistic approach is described that involves modeling powertrains and energy storage systems at multiple scales, as well as designing and testing vehicle prototypes and components.
3) The research aims to help size energy storage systems based on vehicle power and energy requirements through batch simulations that consider constraints of the cells and vehicles.
The document summarizes research presented at the 2010 IEEE VPPC conference on vehicle power and propulsion regarding lithium-ion battery thermal issues and modeling for hybrid and plug-in hybrid electric vehicles. Specifically, it discusses IFP Energies nouvelles' research which takes a coordinated approach to vehicle and powertrain simulation, component testing and optimization, and energy storage system modeling and testing to address thermal management challenges for lithium-ion batteries in electric vehicles.
The document describes three approaches to electric power steering (EPS) control design:
1. PID control
2. Deterministic linear quadratic Gaussian (LQG) control
3. Modified LQG control that accounts for disturbances
It analyzes the dynamics of EPS systems and develops state-space models. The LQG and modified LQG approaches formulate optimal control problems to minimize deviations from desired states and control inputs. The modified LQG controller models disturbances using shaping filters and considers them in the augmented system model and control design.
This document describes a study that developed a neuromuscular driver model to simulate human steering tasks. It presents a dynamic vehicle model including an electric power steering system. A two-level controller models the neuromuscular system and path-following behavior of drivers. Simulations were conducted using the integrated driver and vehicle models, including simulating an ISO double lane change maneuver. Future work is proposed to improve the driver model and optimize electric power steering controllers.
This document discusses parametric and conceptual uncertainty in developing a groundwater flow model of Frenchman Flat in Nevada, which was the site of underground nuclear testing. It acknowledges that conceptual model uncertainty, or having different plausible conceptualizations of the geology, is a major source of uncertainty. The document outlines different hydrogeologic framework models used for Frenchman Flat that make alternative assumptions about geologic features like faults. It advocates considering multiple plausible conceptual models and their impact on predictions, rather than assuming a single optimal model exists. The uncertainty analysis combines parameter and conceptual model uncertainty to more fully capture the uncertainty in model predictions for the site.
Git branching model for efficient development.
(1) Main branches like master and development are used for new features and releases. (2) Supporting branches like bugfix and feature branches have limited lifespans. (3) The workflow handles features, bugs, and releases across environments while maintaining a clean history. Rebasing is preferred over merging for cleaner histories when working locally, while merging integrates changes for public branches.
1) The document presents a physics-based model for lithium-ion battery aging during cycling and calendar modes. It predicts power and capacity fade by modeling solid electrolyte interface growth, lithium inventory loss, and thermal effects.
2) An experimental validation is performed by coupling electrochemical impedance spectroscopy with battery cycling tests. The model is shown to accurately predict power and capacity fade over time in calendar-aging simulations.
3) The modeling approach aims to develop battery management strategies for plug-in electric vehicles to optimize battery lifetime during storage phases.
This document discusses model-based systems engineering (MBSE) and the use of system modeling languages. It motivates MBSE by describing how system models can integrate requirements, design, analysis and other engineering artifacts. It then provides an overview of the SysML modeling language and how it supports structural, behavioral, requirements and parametric modeling of systems. Finally, it describes how a system architecture model can act as an integrating framework to link various engineering analysis models across the lifecycle.
The document summarizes research presented at the 2010 IEEE VPPC conference on vehicle power and propulsion regarding lithium-ion battery thermal issues and modeling for hybrid and plug-in hybrid electric vehicles. Specifically, it discusses IFP Energies nouvelles' research which takes a coordinated approach to vehicle and powertrain simulation, component testing and optimization, and energy storage system modeling and testing to address thermal management challenges for lithium-ion batteries in electric vehicles.
The document describes three approaches to electric power steering (EPS) control design:
1. PID control
2. Deterministic linear quadratic Gaussian (LQG) control
3. Modified LQG control that accounts for disturbances
It analyzes the dynamics of EPS systems and develops state-space models. The LQG and modified LQG approaches formulate optimal control problems to minimize deviations from desired states and control inputs. The modified LQG controller models disturbances using shaping filters and considers them in the augmented system model and control design.
This document describes a study that developed a neuromuscular driver model to simulate human steering tasks. It presents a dynamic vehicle model including an electric power steering system. A two-level controller models the neuromuscular system and path-following behavior of drivers. Simulations were conducted using the integrated driver and vehicle models, including simulating an ISO double lane change maneuver. Future work is proposed to improve the driver model and optimize electric power steering controllers.
This document discusses parametric and conceptual uncertainty in developing a groundwater flow model of Frenchman Flat in Nevada, which was the site of underground nuclear testing. It acknowledges that conceptual model uncertainty, or having different plausible conceptualizations of the geology, is a major source of uncertainty. The document outlines different hydrogeologic framework models used for Frenchman Flat that make alternative assumptions about geologic features like faults. It advocates considering multiple plausible conceptual models and their impact on predictions, rather than assuming a single optimal model exists. The uncertainty analysis combines parameter and conceptual model uncertainty to more fully capture the uncertainty in model predictions for the site.
Git branching model for efficient development.
(1) Main branches like master and development are used for new features and releases. (2) Supporting branches like bugfix and feature branches have limited lifespans. (3) The workflow handles features, bugs, and releases across environments while maintaining a clean history. Rebasing is preferred over merging for cleaner histories when working locally, while merging integrates changes for public branches.
1) The document presents a physics-based model for lithium-ion battery aging during cycling and calendar modes. It predicts power and capacity fade by modeling solid electrolyte interface growth, lithium inventory loss, and thermal effects.
2) An experimental validation is performed by coupling electrochemical impedance spectroscopy with battery cycling tests. The model is shown to accurately predict power and capacity fade over time in calendar-aging simulations.
3) The modeling approach aims to develop battery management strategies for plug-in electric vehicles to optimize battery lifetime during storage phases.
This document discusses model-based systems engineering (MBSE) and the use of system modeling languages. It motivates MBSE by describing how system models can integrate requirements, design, analysis and other engineering artifacts. It then provides an overview of the SysML modeling language and how it supports structural, behavioral, requirements and parametric modeling of systems. Finally, it describes how a system architecture model can act as an integrating framework to link various engineering analysis models across the lifecycle.
Modeling and Simulation of Induction Motor based on Finite Element AnalysisIJPEDS-IAES
This paper presents the development of a co-simulation platform of induction
motor (IM). For the simulation, a coupled model is introduced which
contains the control, the power electronics and also the induction machine.
Each of these components is simulated in different software environments.
So, this study provides an advanced modeling and simulation tools for IM
which integrate all the components into one common simulation platform
environment. In this work, the IM is created using Ansys-Maxwell based on
Finite Element Analysis (FEA), whereas the power electronic converter is
developed in Ansys-Simplorer and the control scheme is build in MATLABSimulink
environment. Such structure can be useful for accurate design
and allows coupling analysis for more realistic simulation. This platform is
exploited to analyze the system models with faults caused by failures of
different drive’s components. Here, two studies cases are presented: the first
is the effects of a faulty device of the PWM inverter, and the second case is
the influence of the short circuit of two stator phases. In order to study the
performance of the control drive of the IM under fault conditions,
a co-simulation of the global dynamic model has been proposed to analyze
the IM behavior and control drives. In this work, the co-simulation has been
performed; furthermore the simulation results of scalar control allowed
verifying the precision of the proposed FEM platform.
Convergence Parameter Analysis for Different Metaheuristic Methods Control Co...IJPEDS-IAES
This paper is an extension of our previous work, which discussed the
difficulty in implementing different methods of resistance emulation
techniques on the hardware due to its control constant estimation delay. In
order to get rid of the delay this paper attempts to include the meta-heuristic
methods for the control constants of the controller. To achieve the minimum
Total Harmonic Disturbance (THD) in the AC side of the converter modern
meta-heuristic methods are compared with the traditional methods. The
convergence parameters, which are primary for the earlier estimation of the
control constants, are compared with the measured parameters, tabulated and
tradeoff inference is done among the methods. This kind of implementation
does not need the mathematical model of the system under study for finding
the control constants. The parameters considered for estimation are
population size, maximum number of epochs, and global best solution of the
control constants, best THD value and execution time. MatlabTM /Simulink
based simulation is optimized with the M-file based optimization techniques
like Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Cuckoo
Search Algorithm, Gravity Search Algorithm, Harmony Search Algorithm
and Bat Algorithm.
This work proposes an optimization algorithm to control speed of a permanent magnet synchronous motor (PMSM) during starting and speed reversal of motor, as well as during load disturbance conditions. The objective is to minimize the integral absolute control error of the PMSM shaft speed to achieve fast and accurate speed response under load disturbance and speed reversal conditions. The maximum overshoot, peak time, settling time and rise time of the motor is also minimized to obtain efficient transient speed response. Optimum speed control of PMSM is obtained with the aid of a PID speed controller. Modified Particle Swarm Optimization (MPSO) and Ant Colony Optimization (ACO) techniques has been employed for tuning of the PID speed controller, to determine its gain coefficients (proportional, integral and derivative). Simulation results demonstrate that with use of MPSO and ACO techniques improved control performance of PMSM can be achieved in comparison to the classical Ziegler-Nichols (Z-N) method of PID tuning.
Hara Software is a software company founded in 2008 that provides a SaaS application called Hara EEM to help businesses measure and reduce their greenhouse gas emissions. Hara EEM has four application modules: Discover, Plan, Act, and Innovate. Hara has raised $45 million in three rounds of funding from investors including Kleiner Perkins Caufield & Byers and employs 69 people as of September 2011.
IRJET- A Review of Testing of Multi Cylinder S.I. Petrol EngineIRJET Journal
This document summarizes a review of testing methods for multi-cylinder spark ignition petrol engines. It discusses the Morse test, which involves running the engine at a constant speed and cutting off the firing of each cylinder in turn to determine the individual indicated power of each cylinder. This allows calculation of the total indicated power and mechanical efficiency of the engine. The document provides background on engine dynamometers, reviews various literature on engine testing techniques, and discusses the future scope and conclusions of using the Morse test method for evaluating multi-cylinder engine performance.
Experimental Investigation on Performance of Turbo-matching of Turbocharger A...IRJET Journal
This document experimentally investigates the performance of matching a turbocharger (A58N72) to a TATA 497 TCIC - BS III diesel engine. The researchers used simulation software to initially match the turbocharger to the engine. They then validated the match using a data logger during road tests with the vehicle. The data logger recorded operating parameters which were plotted on a compressor map to analyze the match for issues like surge or choke. The goal was to ensure the engine operating points fell within the efficient heart region of the compressor map during all operating conditions.
Adaptive Cruise Control System for Vehicle Using Model Predictive Control Alg...IRJET Journal
This document describes research on developing an adaptive cruise control system for vehicles using a model predictive control algorithm. It begins with an abstract that introduces adaptive cruise control and model predictive control. It then provides background on adaptive cruise control and how model predictive control is an advanced version of feedforward control that can predict future states and handle constraints. The document outlines the proposed adaptive cruise control system, which uses model predictive control and includes subsystems for vehicle acceleration dynamics, collision detection, and lane changing functions. It describes modeling the vehicle acceleration dynamics and the three operating modes of the adaptive cruise control system: free driving, vehicle following, and emergency braking. Finally, it discusses how the system was designed and simulated in MATLAB.
Opower is an energy efficiency company that provides utilities with a customer engagement platform to help households save energy. It was founded in 2007 and has grown to over 200 employees. Opower works with over 50 utilities to deliver personalized energy reports, online tools, and alerts to over 10 million households. This has helped households save an average of 3-5% on their energy bills, totaling over $450 million in savings. A California utility saw continued higher savings each year working with Opower by integrating it with their systems to easily transfer usage data. Key to Opower's success is that its reports are opt-out rather than opt-in, and it has good relationships with utilities.
Energy Audit And Management Of Induction Motor Using Field Test And Genetic A...IDES Editor
This paper proposes an economical method that
can be used by industries/plants to make a right decision in
replacing the inefficient induction motors with efficient
ones. proposed method focuses on the field efficiency of
motors without the needs for removing motors and
measuring the output power. The use of a few sets of
measured data from field test coupled with the genetic
algorithms using one operating point for evaluating motor
equivalent circuit parameters instead of using the no load
and blocked-rotor tests is proposed. Test results indicate
that this method has a high accuracy, then it is suitable for
conducting onsite energy audit of motors in order to project
cost savings and payback and to support a confidence
decision regarding the investment in higher efficiency
motors.
This document presents a new technique to reduce power consumption and increase speed in Content Addressable Memory (CAM) using memory partition and clock gating. The proposed CAM design partitions the memory into segments based on the most significant bits to check for matches. Since most words fail to match in their segments, the search can be discontinued for those segments, reducing power and increasing speed. Clock gating is also used to power gate unused portions of the CAM, further reducing static and dynamic power. Simulation and analysis using Quartus II and ModelSim show the proposed design reduces total power dissipation from 369.9mW to 46.3mW compared to an existing design.
IRJET- Particle Swarm Intelligence based Dynamics Economic Dispatch with Dail...IRJET Journal
This document discusses particle swarm intelligence techniques for solving economic load dispatch problems. It begins with an abstract that introduces economic load dispatch as a technique for allocating power generation levels among generating units to minimize costs while meeting demand and operational constraints. It then provides background on economic load dispatch and describes how particle swarm optimization can be applied to solve non-convex economic dispatch problems. Finally, it reviews several related works applying evolutionary algorithms like particle swarm optimization, genetic algorithms, and cuckoo search to economic load dispatch problems.
This document compares mesh generation and CFD simulation results for a torque converter using HyperMesh and AcuSolve. It describes generating meshes of the torque converter components in HyperMesh and AcuConsole, then simulating the flows using FVM and FEM solvers. The results from both methods are compared to test data. The goal is to determine the most suitable meshing and simulation platform for modeling torque converter performance to reduce time spent on CFD projects.
This document presents research on sensorless speed control of an induction motor using predictive current and torque controllers. It begins with an abstract summarizing the research, which involves using a closed-loop observer system and predictive controllers to control an induction motor drive without requiring direct measurement of motor speed or flux. The document then provides background information on sensorless induction motor control and challenges associated with it. It describes the proposed control system, which uses a closed-loop observer to estimate motor flux and speed, along with a predictive current controller and predictive torque controller. Simulation results are presented confirming the effectiveness of the proposed sensorless control approach.
The document compares three electric vehicle drivetrain architectures (hub motors, on-board motors, and axle motors) from a vehicle dynamics perspective using MATLAB simulations. For anti-lock braking system simulations, different control strategies are used to blend electric motor torque with hydraulic brake torque. Optimal slip-tracking control improves stopping distance the most compared to other strategies for all architectures. For vehicle stability control simulations, on-board and hub motor architectures require higher wheel torque due to higher effective wheel inertia, causing higher tire slip. Optimal slip-tracking control reduces tire slip and vehicle sideslip angle by specifying optimal reference slip values. Tire slip trends are lower with hub motors due to more precise slip control.
Analysis of vehicle power supply systems using system simulationIsabelle Cantuel
How the Saber simulation environment helps develop increasingly demanding and complex vehicle power systems. A Volkswagen vehicle power net serves as an illustration.
Automatic Generation of Peephole Superoptimizerskeanumit
The document describes an automatic approach to generating peephole superoptimizers. It discusses:
1) Using an enumerator to exhaustively generate candidate instruction sequences to find optimal replacements for harvested target sequences from training programs.
2) A design that includes canonicalization to handle register/constant renaming, fingerprinting to map sequences to targets, and an equivalence test comprising execution and boolean checks.
3) Experimental results showing the approach finds significant optimizations, improving optimized code by 1-10x, with some rules used over 1000 times.
The document describes performance traction control (PTC) and a side-slip angle estimator that can maximize vehicle performance while maintaining safety. PTC allows for more driver control and feeling without compromising stability. It relaxes stability system intervention to improve acceleration and allow controlled drifting. The side-slip angle estimator uses only existing vehicle sensor data to estimate slip angles. The workflow involves collecting vehicle data, identifying side-slip models, calibrating PTC, validating in simulation, and testing on real vehicles. PTC comes in different configurations to interface with vehicle systems.
MODELLING AND OPTIMIZATION OF ELECTROMAGNETIC TYPE ACTIVE CONTROL ENGINE-MOUN...IAEME Publication
This paper presents a low-cost prototype active control engine mount (ACM) designed for commercial passenger vehicles, requiring a good engine vibration isolation performance. To
construct such an ACM system, all feedback sensors normally required for full ACM systems are replaced by the model based feed forward algorithm, consisting of a vibration estimation algorithm, a current shaping controller and an enhanced ACM model. The current shaping control compensates for degradation of control performance due to elimination of feedback control sensors. The proposed
current shaping control improves the actuator control performance, and the vibration estimation algorithm provides the anti-vibration signals for vibration isolation
Virtual Durability Simulation for Chassis of Commercial vehicleIRJET Journal
1) The document presents a virtual simulation methodology to predict the fatigue durability of commercial vehicle chassis.
2) Road load data is collected from instrumenting a reference vehicle and conducting tests. This data is used to simulate multi-poster durability testing of the chassis through finite element analysis and multi-body dynamics.
3) The methodology accurately calculates stress histories and predicts critical failure locations, allowing virtual validation of the chassis design before physical testing. This reduces development time and costs.
IRJET- Hybrid Intelligent Controller for Interior Permanent Magnet Synchr...IRJET Journal
The document presents a hybrid neuro-fuzzy controller for speed control of an interior permanent magnet synchronous motor (IPMSM) drive. Initially, a genetic algorithm is used to optimize the parameters of a proportional-integral controller for different operating conditions. Then, a fuzzy basis function network is trained to tune the controller parameters online and provide robust speed control under various disturbances. The controller is implemented on a digital signal processor and tested on a 1-hp IPMSM. Simulation and experimental results show the controller provides accurate speed control during sudden load changes and speed command variations.
Modeling and Simulation of Induction Motor based on Finite Element AnalysisIJPEDS-IAES
This paper presents the development of a co-simulation platform of induction
motor (IM). For the simulation, a coupled model is introduced which
contains the control, the power electronics and also the induction machine.
Each of these components is simulated in different software environments.
So, this study provides an advanced modeling and simulation tools for IM
which integrate all the components into one common simulation platform
environment. In this work, the IM is created using Ansys-Maxwell based on
Finite Element Analysis (FEA), whereas the power electronic converter is
developed in Ansys-Simplorer and the control scheme is build in MATLABSimulink
environment. Such structure can be useful for accurate design
and allows coupling analysis for more realistic simulation. This platform is
exploited to analyze the system models with faults caused by failures of
different drive’s components. Here, two studies cases are presented: the first
is the effects of a faulty device of the PWM inverter, and the second case is
the influence of the short circuit of two stator phases. In order to study the
performance of the control drive of the IM under fault conditions,
a co-simulation of the global dynamic model has been proposed to analyze
the IM behavior and control drives. In this work, the co-simulation has been
performed; furthermore the simulation results of scalar control allowed
verifying the precision of the proposed FEM platform.
Convergence Parameter Analysis for Different Metaheuristic Methods Control Co...IJPEDS-IAES
This paper is an extension of our previous work, which discussed the
difficulty in implementing different methods of resistance emulation
techniques on the hardware due to its control constant estimation delay. In
order to get rid of the delay this paper attempts to include the meta-heuristic
methods for the control constants of the controller. To achieve the minimum
Total Harmonic Disturbance (THD) in the AC side of the converter modern
meta-heuristic methods are compared with the traditional methods. The
convergence parameters, which are primary for the earlier estimation of the
control constants, are compared with the measured parameters, tabulated and
tradeoff inference is done among the methods. This kind of implementation
does not need the mathematical model of the system under study for finding
the control constants. The parameters considered for estimation are
population size, maximum number of epochs, and global best solution of the
control constants, best THD value and execution time. MatlabTM /Simulink
based simulation is optimized with the M-file based optimization techniques
like Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Cuckoo
Search Algorithm, Gravity Search Algorithm, Harmony Search Algorithm
and Bat Algorithm.
This work proposes an optimization algorithm to control speed of a permanent magnet synchronous motor (PMSM) during starting and speed reversal of motor, as well as during load disturbance conditions. The objective is to minimize the integral absolute control error of the PMSM shaft speed to achieve fast and accurate speed response under load disturbance and speed reversal conditions. The maximum overshoot, peak time, settling time and rise time of the motor is also minimized to obtain efficient transient speed response. Optimum speed control of PMSM is obtained with the aid of a PID speed controller. Modified Particle Swarm Optimization (MPSO) and Ant Colony Optimization (ACO) techniques has been employed for tuning of the PID speed controller, to determine its gain coefficients (proportional, integral and derivative). Simulation results demonstrate that with use of MPSO and ACO techniques improved control performance of PMSM can be achieved in comparison to the classical Ziegler-Nichols (Z-N) method of PID tuning.
Hara Software is a software company founded in 2008 that provides a SaaS application called Hara EEM to help businesses measure and reduce their greenhouse gas emissions. Hara EEM has four application modules: Discover, Plan, Act, and Innovate. Hara has raised $45 million in three rounds of funding from investors including Kleiner Perkins Caufield & Byers and employs 69 people as of September 2011.
IRJET- A Review of Testing of Multi Cylinder S.I. Petrol EngineIRJET Journal
This document summarizes a review of testing methods for multi-cylinder spark ignition petrol engines. It discusses the Morse test, which involves running the engine at a constant speed and cutting off the firing of each cylinder in turn to determine the individual indicated power of each cylinder. This allows calculation of the total indicated power and mechanical efficiency of the engine. The document provides background on engine dynamometers, reviews various literature on engine testing techniques, and discusses the future scope and conclusions of using the Morse test method for evaluating multi-cylinder engine performance.
Experimental Investigation on Performance of Turbo-matching of Turbocharger A...IRJET Journal
This document experimentally investigates the performance of matching a turbocharger (A58N72) to a TATA 497 TCIC - BS III diesel engine. The researchers used simulation software to initially match the turbocharger to the engine. They then validated the match using a data logger during road tests with the vehicle. The data logger recorded operating parameters which were plotted on a compressor map to analyze the match for issues like surge or choke. The goal was to ensure the engine operating points fell within the efficient heart region of the compressor map during all operating conditions.
Adaptive Cruise Control System for Vehicle Using Model Predictive Control Alg...IRJET Journal
This document describes research on developing an adaptive cruise control system for vehicles using a model predictive control algorithm. It begins with an abstract that introduces adaptive cruise control and model predictive control. It then provides background on adaptive cruise control and how model predictive control is an advanced version of feedforward control that can predict future states and handle constraints. The document outlines the proposed adaptive cruise control system, which uses model predictive control and includes subsystems for vehicle acceleration dynamics, collision detection, and lane changing functions. It describes modeling the vehicle acceleration dynamics and the three operating modes of the adaptive cruise control system: free driving, vehicle following, and emergency braking. Finally, it discusses how the system was designed and simulated in MATLAB.
Opower is an energy efficiency company that provides utilities with a customer engagement platform to help households save energy. It was founded in 2007 and has grown to over 200 employees. Opower works with over 50 utilities to deliver personalized energy reports, online tools, and alerts to over 10 million households. This has helped households save an average of 3-5% on their energy bills, totaling over $450 million in savings. A California utility saw continued higher savings each year working with Opower by integrating it with their systems to easily transfer usage data. Key to Opower's success is that its reports are opt-out rather than opt-in, and it has good relationships with utilities.
Energy Audit And Management Of Induction Motor Using Field Test And Genetic A...IDES Editor
This paper proposes an economical method that
can be used by industries/plants to make a right decision in
replacing the inefficient induction motors with efficient
ones. proposed method focuses on the field efficiency of
motors without the needs for removing motors and
measuring the output power. The use of a few sets of
measured data from field test coupled with the genetic
algorithms using one operating point for evaluating motor
equivalent circuit parameters instead of using the no load
and blocked-rotor tests is proposed. Test results indicate
that this method has a high accuracy, then it is suitable for
conducting onsite energy audit of motors in order to project
cost savings and payback and to support a confidence
decision regarding the investment in higher efficiency
motors.
This document presents a new technique to reduce power consumption and increase speed in Content Addressable Memory (CAM) using memory partition and clock gating. The proposed CAM design partitions the memory into segments based on the most significant bits to check for matches. Since most words fail to match in their segments, the search can be discontinued for those segments, reducing power and increasing speed. Clock gating is also used to power gate unused portions of the CAM, further reducing static and dynamic power. Simulation and analysis using Quartus II and ModelSim show the proposed design reduces total power dissipation from 369.9mW to 46.3mW compared to an existing design.
IRJET- Particle Swarm Intelligence based Dynamics Economic Dispatch with Dail...IRJET Journal
This document discusses particle swarm intelligence techniques for solving economic load dispatch problems. It begins with an abstract that introduces economic load dispatch as a technique for allocating power generation levels among generating units to minimize costs while meeting demand and operational constraints. It then provides background on economic load dispatch and describes how particle swarm optimization can be applied to solve non-convex economic dispatch problems. Finally, it reviews several related works applying evolutionary algorithms like particle swarm optimization, genetic algorithms, and cuckoo search to economic load dispatch problems.
This document compares mesh generation and CFD simulation results for a torque converter using HyperMesh and AcuSolve. It describes generating meshes of the torque converter components in HyperMesh and AcuConsole, then simulating the flows using FVM and FEM solvers. The results from both methods are compared to test data. The goal is to determine the most suitable meshing and simulation platform for modeling torque converter performance to reduce time spent on CFD projects.
This document presents research on sensorless speed control of an induction motor using predictive current and torque controllers. It begins with an abstract summarizing the research, which involves using a closed-loop observer system and predictive controllers to control an induction motor drive without requiring direct measurement of motor speed or flux. The document then provides background information on sensorless induction motor control and challenges associated with it. It describes the proposed control system, which uses a closed-loop observer to estimate motor flux and speed, along with a predictive current controller and predictive torque controller. Simulation results are presented confirming the effectiveness of the proposed sensorless control approach.
The document compares three electric vehicle drivetrain architectures (hub motors, on-board motors, and axle motors) from a vehicle dynamics perspective using MATLAB simulations. For anti-lock braking system simulations, different control strategies are used to blend electric motor torque with hydraulic brake torque. Optimal slip-tracking control improves stopping distance the most compared to other strategies for all architectures. For vehicle stability control simulations, on-board and hub motor architectures require higher wheel torque due to higher effective wheel inertia, causing higher tire slip. Optimal slip-tracking control reduces tire slip and vehicle sideslip angle by specifying optimal reference slip values. Tire slip trends are lower with hub motors due to more precise slip control.
Analysis of vehicle power supply systems using system simulationIsabelle Cantuel
How the Saber simulation environment helps develop increasingly demanding and complex vehicle power systems. A Volkswagen vehicle power net serves as an illustration.
Automatic Generation of Peephole Superoptimizerskeanumit
The document describes an automatic approach to generating peephole superoptimizers. It discusses:
1) Using an enumerator to exhaustively generate candidate instruction sequences to find optimal replacements for harvested target sequences from training programs.
2) A design that includes canonicalization to handle register/constant renaming, fingerprinting to map sequences to targets, and an equivalence test comprising execution and boolean checks.
3) Experimental results showing the approach finds significant optimizations, improving optimized code by 1-10x, with some rules used over 1000 times.
The document describes performance traction control (PTC) and a side-slip angle estimator that can maximize vehicle performance while maintaining safety. PTC allows for more driver control and feeling without compromising stability. It relaxes stability system intervention to improve acceleration and allow controlled drifting. The side-slip angle estimator uses only existing vehicle sensor data to estimate slip angles. The workflow involves collecting vehicle data, identifying side-slip models, calibrating PTC, validating in simulation, and testing on real vehicles. PTC comes in different configurations to interface with vehicle systems.
MODELLING AND OPTIMIZATION OF ELECTROMAGNETIC TYPE ACTIVE CONTROL ENGINE-MOUN...IAEME Publication
This paper presents a low-cost prototype active control engine mount (ACM) designed for commercial passenger vehicles, requiring a good engine vibration isolation performance. To
construct such an ACM system, all feedback sensors normally required for full ACM systems are replaced by the model based feed forward algorithm, consisting of a vibration estimation algorithm, a current shaping controller and an enhanced ACM model. The current shaping control compensates for degradation of control performance due to elimination of feedback control sensors. The proposed
current shaping control improves the actuator control performance, and the vibration estimation algorithm provides the anti-vibration signals for vibration isolation
Virtual Durability Simulation for Chassis of Commercial vehicleIRJET Journal
1) The document presents a virtual simulation methodology to predict the fatigue durability of commercial vehicle chassis.
2) Road load data is collected from instrumenting a reference vehicle and conducting tests. This data is used to simulate multi-poster durability testing of the chassis through finite element analysis and multi-body dynamics.
3) The methodology accurately calculates stress histories and predicts critical failure locations, allowing virtual validation of the chassis design before physical testing. This reduces development time and costs.
IRJET- Hybrid Intelligent Controller for Interior Permanent Magnet Synchr...IRJET Journal
The document presents a hybrid neuro-fuzzy controller for speed control of an interior permanent magnet synchronous motor (IPMSM) drive. Initially, a genetic algorithm is used to optimize the parameters of a proportional-integral controller for different operating conditions. Then, a fuzzy basis function network is trained to tune the controller parameters online and provide robust speed control under various disturbances. The controller is implemented on a digital signal processor and tested on a 1-hp IPMSM. Simulation and experimental results show the controller provides accurate speed control during sudden load changes and speed command variations.