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Battery monitoring and analysis for automotive system 
The term ‘‘Battery Monitoring’’ is used in a wide range of meanings, from occasional manual readings of 
voltages, of electrolyte gravity SG and level, and visual cell inspection, through periodical tests of 
capacity or manual measurement of battery resistance, to fully automated on-line supervision in critical 
applications with means for real-time estimation of residue bridging time, or of battery wear and tear. 
Here the term Battery Monitoring is used for supervision without manual engagement, which is state-of-the- 
art with many cycling batteries in automobiles like automatically guided vehicles (AGVs), forklift 
trucks, submarines, electrically driven cars and trucks, as well as with standby batteries in telecom and 
UPS applications. With consumer applications, any mobile phone, laptop or pocket computer, or even a 
wristwatch is equipped with a device providing some information with respect to energy being left. 
The specific situation of the automotive battery becomes obvious, technically impeding Battery 
Monitoring in the automotive fields: 
 They are scarcely ever been completely charged, i.e. ‘opportunity charge’ is standard. 
 Recharge is performed with a wide range of different current rates. 
 Discharge virtually never starts from a full SOC. 
 Discharge is performed with a wide range of different current rates. Sometimes full discharge or 
(unfortunately) even over-discharge occurs. 
 Operational temperature may even exceed the window from 30 to 70 degrees 
While the term ‘‘Battery Monitoring’’ comprises 
 Taking and/or receiving data from and/or about the battery 
 Processing of this information, including predictions of performance, and 
 Being or a unit, i.e. only passive surveillance and evaluation 
The term ‘‘Battery Management’’ means active feedback to the battery. This may comprise control of 
current or voltage levels, control of recharge conditions, limiting of the operational windows with 
respect to SOC and/or temperature, battery temperature management, etc. 
An appropriate Battery Management may enhance and improve, but is not a precondition for, a 
successful Energy Management. It is Energy Management, preferably including Battery Management, 
which, based on the information from Battery Monitoring, allows for a self-standing operation of a 
system without manual input—the comfort and the technical necessity requested for a vehicle at the 
beginning of the 21st century. 
Battery Monitoring allows for best use of the capability of a battery of given size, to guarantee power 
supply for high reliability devices, and for replacement strategies. Further-more, monitoring of the 
actual state-of-charge allows for an electrical power management which may include both reducing 
consumption of electrical power by limiting of operable luxury applications as well as increase of power 
generation by appropriate control of alternator or even idle speed and automatic gearbox control.
Battery Monitoring may be needed if 
1. Energy has to be provided for a component which is essential for operation, e.g. an Electromechanical 
Power Steering (EPS) or an Electro-hydraulic Power Braking (EHB) system, an electrically powered 
suspension stabilization system, or an automatic gear shift; 
2. An Electrical Energy Management (EEM) has to guarantee, e.g. for future cranking capability; 
3. The cranking capability has to be supervised to operate a stop/start-system; 
4. An indication of battery fatigue is needed for garage service to replace the battery. 
Battery Monitoring consists of data acquisition, data processing, and some prediction of the future. For 
different technical goals, different information with respect to the future is needed. Any approach for 
Battery Monitoring may be classified according to the following criteria, which may be combined, too, 
e.g. data acquisition from both long-term and the nearest past, and prediction of both battery status 
and behavior. 
A. Data Acquisition 
1. Type of data: Battery status/battery behavior/operational conditions 
2. Time scale of data acquisition: From long-term history/near past 
3. Source of data: External battery parameters /internal battery parameters (e.g. electrolyte 
properties)/vehicle data (e.g. engine rpm, speed, and environmental temperature). 
4. Data achieved from: Undisturbed battery behavior/ after electrical stimulation. 
B. Data analysis 
1. Analysis of operational history (i.e. conditions the battery had to suffer so far). 
2. Analysis of previous performance (i.e. behavior the battery has shown so far). 
3. Analysis of actual performance (i.e. recent and actual battery behavior and status). 
C. Prediction of battery performance under a hypothetical future electrical load 
1. Point in time for prediction: Near future (just now, with the present battery status)/medium future (in 
several hours or days, when the battery charge and temperature may have been changed). 
2. Type of predicted battery data: Status (temperature, state-of-charge)/load behavior. 
D. Determination of available electrical energy 
This is a special case of C, with the standard capacity test scheme as the hypothetical (future) electrical 
load.
E. Determination of battery degradation (state-of-health (SOH) figure of merit). 
While Battery Monitoring may provide information about the status of the battery, this knowledge is 
not a goal by itself. The final technical benefit has to be made clear, and a strategy and means to achieve 
this goal have to be worked out, to find out the relevant properties of the battery which have to be 
considered and evaluated.

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Battery monitoring and analysis for automotive system

  • 1. Battery monitoring and analysis for automotive system The term ‘‘Battery Monitoring’’ is used in a wide range of meanings, from occasional manual readings of voltages, of electrolyte gravity SG and level, and visual cell inspection, through periodical tests of capacity or manual measurement of battery resistance, to fully automated on-line supervision in critical applications with means for real-time estimation of residue bridging time, or of battery wear and tear. Here the term Battery Monitoring is used for supervision without manual engagement, which is state-of-the- art with many cycling batteries in automobiles like automatically guided vehicles (AGVs), forklift trucks, submarines, electrically driven cars and trucks, as well as with standby batteries in telecom and UPS applications. With consumer applications, any mobile phone, laptop or pocket computer, or even a wristwatch is equipped with a device providing some information with respect to energy being left. The specific situation of the automotive battery becomes obvious, technically impeding Battery Monitoring in the automotive fields:  They are scarcely ever been completely charged, i.e. ‘opportunity charge’ is standard.  Recharge is performed with a wide range of different current rates.  Discharge virtually never starts from a full SOC.  Discharge is performed with a wide range of different current rates. Sometimes full discharge or (unfortunately) even over-discharge occurs.  Operational temperature may even exceed the window from 30 to 70 degrees While the term ‘‘Battery Monitoring’’ comprises  Taking and/or receiving data from and/or about the battery  Processing of this information, including predictions of performance, and  Being or a unit, i.e. only passive surveillance and evaluation The term ‘‘Battery Management’’ means active feedback to the battery. This may comprise control of current or voltage levels, control of recharge conditions, limiting of the operational windows with respect to SOC and/or temperature, battery temperature management, etc. An appropriate Battery Management may enhance and improve, but is not a precondition for, a successful Energy Management. It is Energy Management, preferably including Battery Management, which, based on the information from Battery Monitoring, allows for a self-standing operation of a system without manual input—the comfort and the technical necessity requested for a vehicle at the beginning of the 21st century. Battery Monitoring allows for best use of the capability of a battery of given size, to guarantee power supply for high reliability devices, and for replacement strategies. Further-more, monitoring of the actual state-of-charge allows for an electrical power management which may include both reducing consumption of electrical power by limiting of operable luxury applications as well as increase of power generation by appropriate control of alternator or even idle speed and automatic gearbox control.
  • 2. Battery Monitoring may be needed if 1. Energy has to be provided for a component which is essential for operation, e.g. an Electromechanical Power Steering (EPS) or an Electro-hydraulic Power Braking (EHB) system, an electrically powered suspension stabilization system, or an automatic gear shift; 2. An Electrical Energy Management (EEM) has to guarantee, e.g. for future cranking capability; 3. The cranking capability has to be supervised to operate a stop/start-system; 4. An indication of battery fatigue is needed for garage service to replace the battery. Battery Monitoring consists of data acquisition, data processing, and some prediction of the future. For different technical goals, different information with respect to the future is needed. Any approach for Battery Monitoring may be classified according to the following criteria, which may be combined, too, e.g. data acquisition from both long-term and the nearest past, and prediction of both battery status and behavior. A. Data Acquisition 1. Type of data: Battery status/battery behavior/operational conditions 2. Time scale of data acquisition: From long-term history/near past 3. Source of data: External battery parameters /internal battery parameters (e.g. electrolyte properties)/vehicle data (e.g. engine rpm, speed, and environmental temperature). 4. Data achieved from: Undisturbed battery behavior/ after electrical stimulation. B. Data analysis 1. Analysis of operational history (i.e. conditions the battery had to suffer so far). 2. Analysis of previous performance (i.e. behavior the battery has shown so far). 3. Analysis of actual performance (i.e. recent and actual battery behavior and status). C. Prediction of battery performance under a hypothetical future electrical load 1. Point in time for prediction: Near future (just now, with the present battery status)/medium future (in several hours or days, when the battery charge and temperature may have been changed). 2. Type of predicted battery data: Status (temperature, state-of-charge)/load behavior. D. Determination of available electrical energy This is a special case of C, with the standard capacity test scheme as the hypothetical (future) electrical load.
  • 3. E. Determination of battery degradation (state-of-health (SOH) figure of merit). While Battery Monitoring may provide information about the status of the battery, this knowledge is not a goal by itself. The final technical benefit has to be made clear, and a strategy and means to achieve this goal have to be worked out, to find out the relevant properties of the battery which have to be considered and evaluated.