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

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

Springer-Verlag, 2008

ISBN: 9781402069451 , 238 Pages

Format: PDF, Read online

Copy protection: DRM

Windows PC,Mac OSX,Windows PC,Mac OSX geeignet für alle DRM-fähigen eReader Apple iPad, Android Tablet PC's Read Online for: Windows PC,Mac OSX,Linux

Price: 171,19 EUR



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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