Battery Management Systems - Accurate State-of-Charge Indication for Battery-Powered Applications

Battery Management Systems - Accurate State-of-Charge Indication for Battery-Powered Applications

von: Valer Pop, Henk Jan Bergveld, Dmitry Danilov, Paul P. L. Regtien, Peter H. L. Notten

Springer-Verlag, 2008

ISBN: 9781402069451

Sprache: Englisch

238 Seiten, Download: 11281 KB

 
Format:  PDF, auch als Online-Lesen

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Battery Management Systems - Accurate State-of-Charge Indication for Battery-Powered Applications



  Table of contents 7  
  List of abbreviations 10  
  List of symbols 12  
  Chapter 1 Introduction 20  
     1.1 Battery Management Systems 20  
     1.2 State-of-Charge definition 22  
     1.3 Goal and motivation of the research described in this book 23  
     1.4 Scope of this book 25  
     1.5 References 26  
  Chapter 2 State-of-the-Art of battery State-of-Charge determination 29  
     2.1 Introduction 29  
     2.2 Battery technology and applications 29  
     2.3 History of State-of-Charge indication 34  
     2.4 A general State-of-Charge system 41  
     2.5 Possible State-of-Charge indication methods 42  
     2.6 Commercial State-of-Charge indication systems 56  
     2.7 Conclusions 59  
     2.8 References 60  
  Chapter 3 A State-of-Charge indication algorithm 64  
     3.1 An introduction to the algorithm 64  
     3.2 Battery measurements and modelling for the State-of-Charge indication algorithm 64  
     3.3 States of the State-of-Charge algorithm 69  
     3.4 Main issues of the algorithm 71  
     3.5 General remarks on the accuracy of SoC indication systems 76  
     3.6 Conclusions 76  
     3.7 References 77  
  Chapter 4 Methods for measuring and modelling a battery’s Electro-Motive Force 79  
     4.1 EMF measurement 79  
     4.2 Voltage prediction 85  
     4.3 Hysteresis 99  
     4.4 Electro-Motive Force modelling 102  
     4.5 Conclusions 109  
     4.6 References 109  
  Chapter 5 Methods for measuring and modelling a battery’s overpotential 111  
     5.1 Overpotential measurements 111  
     5.2 Overpotential modelling and simulation 119  
     5.3 Conclusions 124  
     5.4 References 125  
  Chapter 6 Battery aging process 126  
     6.1 General aspects of battery aging 126  
     6.2 EMF measurements as a function of battery aging 129  
     6.3 Overpotential dependence on battery aging 147  
     6.4 Adaptive systems 152  
     6.5 Conclusions 156  
     6.6 References 157  
  Chapter 7 Measurement results obtained with new SoC algorithms using fresh batteries 159  
     7.1 Introduction 159  
     7.2 Implementation aspects of the algorithm 160  
     7.3 Results obtained with the algorithm using fresh batteries 165  
     7.4 Uncertainty analysis 169  
     7.5 Improvements in the new SoC algorithm 178  
     7.6 Comparison with Texas Instruments’ bq26500 SoC indication IC 188  
     7.7 Conclusions 192  
     7.8 References 193  
  Chapter 8 Universal State-of-Charge indication for battery-powered applications 195  
     8.1 Introduction 195  
     8.2 Implementation aspects of the overpotential adaptive system 196  
     8.3 SoC=f(EMF) and adaptive system 197  
     8.4 Results obtained with the adaptive SoC system using aged adaptive system 199  
     8.5 Uncertainty analysis 202  
     8.6 Results obtained with other Li-based battery 203  
     8.7 Practical implementation aspects of the SoC algorithm 214  
     8.8 Conclusions 232  
     8.9 References 233  
  Chapter 9 General conclusions 235  
     References 237  

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