Battery management systems: accurate state-of-charge indication for battery-powered applications
Saved in:
| Format: | Book |
|---|---|
| Language: | English |
| Published: |
[Dordrecht]
Springer
2008
|
| Series: | Philips research book series
9 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturangaben |
| Physical Description: | XX, 223 S. Ill., graph. Darst. |
| ISBN: | 9781402069444 1402069448 |
Staff View
MARC
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| 245 | 1 | 0 | |a Battery management systems |b accurate state-of-charge indication for battery-powered applications |c Valer Pop ... |
| 264 | 1 | |a [Dordrecht] |b Springer |c 2008 | |
| 300 | |a XX, 223 S. |b Ill., graph. Darst. | ||
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| 490 | 1 | |a Philips research book series |v 9 | |
| 500 | |a Literaturangaben | ||
| 650 | 7 | |a Batterijen |2 gtt | |
| 650 | 4 | |a Battery chargers | |
| 650 | 4 | |a Electric batteries | |
| 650 | 4 | |a Storage batteries | |
| 650 | 0 | 7 | |a Batterie |0 (DE-588)4004687-4 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Batterie |0 (DE-588)4004687-4 |D s |
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Record in the Search Index
| _version_ | 1804138105514491904 |
|---|---|
| adam_text | Table
of
contents
List of abbreviations
xi
List of symbols
xiii
1.
Introduction
1
1.1
Battery Management Systems
1
1.2
State-of-Charge definition
3
1.3
Goal and motivation of the research described in this book
4
1.4
Scope of this book
6
1.5
References
7
2.
State-of-the-Art of battery State-of-Charge determination
11
2.1
Introduction
11
2.2
Battery technology and applications
11
2.2.1
General operational mechanism of batteries
13
2.2.2
Battery types and characteristics
14
2.2.3
Summary
16
2.3
History of State-of-Charge indication
16
2.4
A general State-of-Charge system
23
2.5
Possible State-of-Charge indication methods
24
2.5.1
Direct measurement
26
2.5.2
Book-keeping systems
32
2.5.3
Adaptive systems
34
2.5.4
Summary
37
2.6
Commercial State-of-Charge indication systems
38
2.7
Conclusions
41
2.8
References
42
3.
A State-of-Charge indication algorithm
47
3.1
An introduction to the algorithm
47
3.2
Battery measurements and modelling for the State-of-Charge
indication algorithm
47
3.2.1
EMF measurement and modelling
48
3.2.2
Overpotential measurement and modelling
50
3.3
States of the State-of-Charge algorithm
52
3.4
Main issues of the algorithm
54
3.4.1
EMF measurement, modelling and implementation
55
3.4.2
Overpotential measurement, modelling and implementation
57
3.4.3
Adaptive systems
58
3.5
General remarks on the accuracy of SoC indication systems
59
3.6
Conclusions ™
3.7
References 60
4.
Methods for measuring and modelling a battery s
Electro-Motive Force 63
4.1
EMF measurement 63
4.2
Voltage prediction 69
viii Table of
contents
4.2.1
Equilibrium detection
69
4.2.2
Existing voltage-relaxation models used
for voltage prediction
70
4.2.3
A new voltage-relaxation model
73
4.2.4
Implementation aspects of the voltage-relaxation model
75
4.2.5
Comparison of results obtained with the different
voltage-relaxation models
81
4.2.6
Summary
82
4.3
Hysteresis
83
4.4
Electro-Motive Force modelling
86
4.5
Conclusions
93
4.6
References
93
5.
Methods for measuring and modelling a battery s
overpotential
95
5.1
Overpotential measurements
95
5.1.1
Overpotential measurements involving partial
charge/discharge steps
95
5.1.2
Overpotential measurements involving full (dis)charge steps
100
5.2
Overpotential modelling and simulation
103
5.2.1
Overpotential modelling
103
5.2.2
Simulation results
104
5.3
Conclusions
108
5.4
References
109
6.
Battery aging process 111
6.1
General aspects of battery aging 111
6.1.1
Li-ion battery aging 111
6.1 2
Qmax measurements
113
6.2
EMF measurements as a function of battery aging
114
6.2.1
The voltage-relaxation model as a function of
battery aging
114
6.2.2
EMF
GITT
measurement results obtained for
aged batteries
120
6.2.3
The charge/discharge Electro-Motive Force
difference as a function of battery aging
125
6.2.4
EMF modelling as a function of battery aging
130
6.3
Overpotential dependence on battery aging
132
6.3.1
Overpotential measurements as a function of aging
132
6.4
Adaptive systems
137
6.4.1
Electro-Motive Force adaptive system
137
6.4.2
Overpotential adaptive system
140
6.5
Conclusions
141
6.6
References
142
7.
Measurement results obtained with new SoC algorithms
using fresh batteries
145
7.1
Introduction
145
7.2
Implementation aspects of the algorithm
146
Table
of
contents
ix
7.2.1
A
new
SoC
algorithm
146
7.2.2
Implementation
aspects
of the SoC algorithm
150
7.3
Results obtained with the algorithm using
fresh batteries
151
7.4
Uncertainty analysis
155
7.4.1
Uncertainty in the real-time SoC evaluation system
155
7.4.2
The SoC uncertainty
158
7.4.3
The remaining run-time uncertainty
161
7.5
Improvements in the new SoC algorithm
164
7.5.1
A new State-of-Charge-Electro-Motive Force
relationship
164
7.5.2
A new State-of-Charge-left model
165
7.5.3
Determination of the parameters of the new models
166
7.5.4
Test results
169
7.5.5
Uncertainty analysis
173
7.6
Comparison with Texas Instruments bq26500
SoC indication
1С 174
7.6.1
The bq26500 SoC indicator
174
7.6.2
Comparison of the two SoC indicators
176
7.7
Conclusions
178
7.8
References
179
8.
Universal State-of-Charge indication for
battery-powered applications
81
8.1
Introduction
81
8.2
Implementation aspects of the overpotential
adaptive system
82
8.3
SoC=f(EMF) and SoC, adaptive system
183
8.4
Results obtained with the adaptive SoC system
using aged batteries 85
8.5
Uncertainty analysis 88
8.6
Results obtained with other Li-based battery
189
8.6.1
EMF and SoQ modelling results obtained
for the Li-based battery
90
8.6.2
Experimental results 196
8.7
Practical implementation aspects of the SoC
algorithm 20°
8.7.1
Hardware design of the evaluation board
200
8.7.2
Software design of the evaluation board
204
8.7.3
Measurement results 205
8.7.4
Boostcharging 208
8.8
Conclusions 218
8.9
References 2I9
9.
General conclusions
|
| adam_txt |
Table
of
contents
List of abbreviations
xi
List of symbols
xiii
1.
Introduction
1
1.1
Battery Management Systems
1
1.2
State-of-Charge definition
3
1.3
Goal and motivation of the research described in this book
4
1.4
Scope of this book
6
1.5
References
7
2.
State-of-the-Art of battery State-of-Charge determination
11
2.1
Introduction
11
2.2
Battery technology and applications
11
2.2.1
General operational mechanism of batteries
13
2.2.2
Battery types and characteristics
14
2.2.3
Summary
16
2.3
History of State-of-Charge indication
16
2.4
A general State-of-Charge system
23
2.5
Possible State-of-Charge indication methods
24
2.5.1
Direct measurement
26
2.5.2
Book-keeping systems
32
2.5.3
Adaptive systems
34
2.5.4
Summary
37
2.6
Commercial State-of-Charge indication systems
38
2.7
Conclusions
41
2.8
References
42
3.
A State-of-Charge indication algorithm
47
3.1
An introduction to the algorithm
47
3.2
Battery measurements and modelling for the State-of-Charge
indication algorithm
47
3.2.1
EMF measurement and modelling
48
3.2.2
Overpotential measurement and modelling
50
3.3
States of the State-of-Charge algorithm
52
3.4
Main issues of the algorithm
54
3.4.1
EMF measurement, modelling and implementation
55
3.4.2
Overpotential measurement, modelling and implementation
57
3.4.3
Adaptive systems
58
3.5
General remarks on the accuracy of SoC indication systems
59
3.6
Conclusions ™
3.7
References 60
4.
Methods for measuring and modelling a battery's
Electro-Motive Force 63
4.1
EMF measurement 63
4.2
Voltage prediction 69
viii Table of
contents
4.2.1
Equilibrium detection
69
4.2.2
Existing voltage-relaxation models used
for voltage prediction
70
4.2.3
A new voltage-relaxation model
73
4.2.4
Implementation aspects of the voltage-relaxation model
75
4.2.5
Comparison of results obtained with the different
voltage-relaxation models
81
4.2.6
Summary
82
4.3
Hysteresis
83
4.4
Electro-Motive Force modelling
86
4.5
Conclusions
93
4.6
References
93
5.
Methods for measuring and modelling a battery's
overpotential
95
5.1
Overpotential measurements
95
5.1.1
Overpotential measurements involving partial
charge/discharge steps
95
5.1.2
Overpotential measurements involving full (dis)charge steps
100
5.2
Overpotential modelling and simulation
103
5.2.1
Overpotential modelling
103
5.2.2
Simulation results
104
5.3
Conclusions
108
5.4
References
109
6.
Battery aging process 111
6.1
General aspects of battery aging 111
6.1.1
Li-ion battery aging 111
6.1 2
Qmax measurements
113
6.2
EMF measurements as a function of battery aging
114
6.2.1
The voltage-relaxation model as a function of
battery aging
114
6.2.2
EMF
GITT
measurement results obtained for
aged batteries
120
6.2.3
The charge/discharge Electro-Motive Force
difference as a function of battery aging
125
6.2.4
EMF modelling as a function of battery aging
130
6.3
Overpotential dependence on battery aging
132
6.3.1
Overpotential measurements as a function of aging
132
6.4
Adaptive systems
137
6.4.1
Electro-Motive Force adaptive system
137
6.4.2
Overpotential adaptive system
140
6.5
Conclusions
141
6.6
References
142
7.
Measurement results obtained with new SoC algorithms
using fresh batteries
145
7.1
Introduction
145
7.2
Implementation aspects of the algorithm
146
Table
of
contents
ix
7.2.1
A
new
SoC
algorithm
146
7.2.2
Implementation
aspects
of the SoC algorithm
150
7.3
Results obtained with the algorithm using
fresh batteries
151
7.4
Uncertainty analysis
155
7.4.1
Uncertainty in the real-time SoC evaluation system
155
7.4.2
The SoC uncertainty
158
7.4.3
The remaining run-time uncertainty
161
7.5
Improvements in the new SoC algorithm
164
7.5.1
A new State-of-Charge-Electro-Motive Force
relationship
164
7.5.2
A new State-of-Charge-left model
165
7.5.3
Determination of the parameters of the new models
166
7.5.4
Test results
169
7.5.5
Uncertainty analysis
173
7.6
Comparison with Texas Instruments' bq26500
SoC indication
1С 174
7.6.1
The bq26500 SoC indicator
174
7.6.2
Comparison of the two SoC indicators
176
7.7
Conclusions
178
7.8
References
179
8.
Universal State-of-Charge indication for
battery-powered applications
'81
8.1
Introduction
'81
8.2
Implementation aspects of the overpotential
adaptive system
'82
8.3
SoC=f(EMF) and SoC, adaptive system
183
8.4
Results obtained with the adaptive SoC system
using aged batteries '85
8.5
Uncertainty analysis '88
8.6
Results obtained with other Li-based battery
189
8.6.1
EMF and SoQ modelling results obtained
for the Li-based battery
'
90
8.6.2
Experimental results 196
8.7
Practical implementation aspects of the SoC
algorithm 20°
8.7.1
Hardware design of the evaluation board
200
8.7.2
Software design of the evaluation board
204
8.7.3
Measurement results 205
8.7.4
Boostcharging 208
8.8
Conclusions 218
8.9
References 2I9
9.
General conclusions |
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| id | DE-604.BV035125609 |
| illustrated | Illustrated |
| index_date | 2024-07-02T22:22:46Z |
| indexdate | 2024-07-09T21:22:54Z |
| institution | BVB |
| isbn | 9781402069444 1402069448 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016793198 |
| oclc_num | 191760033 |
| open_access_boolean | |
| owner | DE-703 DE-573 |
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| physical | XX, 223 S. Ill., graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Springer |
| record_format | marc |
| series | Philips research book series |
| series2 | Philips research book series |
| spelling | Battery management systems accurate state-of-charge indication for battery-powered applications Valer Pop ... [Dordrecht] Springer 2008 XX, 223 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Philips research book series 9 Literaturangaben Batterijen gtt Battery chargers Electric batteries Storage batteries Batterie (DE-588)4004687-4 gnd rswk-swf Batterie (DE-588)4004687-4 s DE-604 Pop, Valer Sonstige oth Philips research book series 9 (DE-604)BV017074482 9 Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016793198&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Battery management systems accurate state-of-charge indication for battery-powered applications Philips research book series Batterijen gtt Battery chargers Electric batteries Storage batteries Batterie (DE-588)4004687-4 gnd |
| subject_GND | (DE-588)4004687-4 |
| title | Battery management systems accurate state-of-charge indication for battery-powered applications |
| title_auth | Battery management systems accurate state-of-charge indication for battery-powered applications |
| title_exact_search | Battery management systems accurate state-of-charge indication for battery-powered applications |
| title_exact_search_txtP | Battery management systems accurate state-of-charge indication for battery-powered applications |
| title_full | Battery management systems accurate state-of-charge indication for battery-powered applications Valer Pop ... |
| title_fullStr | Battery management systems accurate state-of-charge indication for battery-powered applications Valer Pop ... |
| title_full_unstemmed | Battery management systems accurate state-of-charge indication for battery-powered applications Valer Pop ... |
| title_short | Battery management systems |
| title_sort | battery management systems accurate state of charge indication for battery powered applications |
| title_sub | accurate state-of-charge indication for battery-powered applications |
| topic | Batterijen gtt Battery chargers Electric batteries Storage batteries Batterie (DE-588)4004687-4 gnd |
| topic_facet | Batterijen Battery chargers Electric batteries Storage batteries Batterie |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016793198&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV017074482 |
| work_keys_str_mv | AT popvaler batterymanagementsystemsaccuratestateofchargeindicationforbatterypoweredapplications |