Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Aachen
Shaker
2014
|
| Schriftenreihe: | Aachener Beiträge des ISEA
72 |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | VII, 232 S. graph. Darst. |
| ISBN: | 9783844029765 |
Internformat
MARC
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Datensatz im Suchindex
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| adam_text |
V
CONTENTS
1 INTRODUCTION 1
1.1 MOTIVATION AND OBJECTIVE OF THIS WORK 1
1.2 STRUCTURE OF THIS WORK 2
2 DEPENDENCE OF LIB CHARACTERISTICS ON INTERNAL AND EXTERNAL CONDITIONS
4
2.1 CHARACTERIZATION TECHNIQUES 4
2.1.1 CHARACTERIZATION OF IMPEDANCE 5
2.1.2 CHARACTERIZATION OF THE OPEN-CIRCUIT BEHAVIOR AND CAPACITY 9
2.1.3 CHARACTERIZATION OF THE DIFFUSION OVERVOLTAGE 10
2.2 MEASUREMENT RESULTS AND DISCUSSION THEREOF 11
2.2.1 CHARACTERIZATION OF THE BATTERY IMPEDANCE 13
2.2.2 CHARACTERIZATION OF THE OPEN-CIRCUIT BEHAVIOR OF THE BATTERY AND
ITS CAPACITY. 27
2.2.3 CHARACTERIZATION OF THE DIFFUSION OVERVOLTAGE 33
2.3 SUMMARY 35
3 REQUIREMENTS ON BATTERY MONITORING ALGORITHMS 36
3.1 BATTERY PARAMETERS AND STATES TO BE MONITORED 36
3.1.1 SOC, CAPACITY, AND RESIDUAL ENERGY 37
3.1.2 AVAILABLE POWER AND IMPEDANCE PARAMETERS 37
3.1.3 CHARGING TIME 38
3.1.4 SOH AND RUL 38
3.2 INFLUENCE OF THE BATTERY PACK TOPOLOGY, MEASURING HARDWARE, AND
TARGET
MICROCONTROLLER ON MONITORING ALGORITHMS 39
3.3 INFLUENCE OF BATTERY CHARACTERISTICS ON MONITORING ALGORITHMS 42
3.3.1 BATTERY SOA 43
3.4 INFLUENCE OF BATTERY LOAD PROFILES ON MONITORING ALGORITHMS 44
3.4.1 BATTERY TEMPERATURE 44
3.4.2 INFLUENCE OF THE BATTERY LOAD ON BATTERY IMPEDANCE PARAMETERS
DETERMINED BY
MONITORING ALGORITHMS 45
3.5 SUMMARY OF REQUIREMENTS 51
4 CRITICAL REVIEW OF THE METHODS FOR BATTERY MONITORING PRESENTED IN
SCIENTIFIC AND
TECHNICAL LITERATURE 52
4.1 METHODS FOR THE SOC ESTIMATION 52
4.1.1 AMPERE-HOUR COUNTING 52
4.1.2 OC V-BASED ESTIMATION 53
HTTP://D-NB.INFO/1054623333
4.1.3 MODEL-BASED ESTIMATION 55
4.1.4 IMPEDANCE-BASED ESTIMATION 59
4.1.5 ESTIMATION BASED ON STATIC BATTERY CHARACTERISTICS 59
4.1.6 ESTIMATION USING FUZZY LOGIC AND METHODS OF MACHINE LEARNING 59
4.1.7 ESTIMATION USING SPECIAL MEASUREMENT TECHNIQUES 61
4.2 METHODS FOR THE CAPACITY ESTIMATION 61
4.3 METHODS FOR THE ESTIMATION OF THE BATTERY IMPEDANCE 63
4.3.1 METHODS BASED ON IMPEDANCE SPECTROSCOPY 64
4.3.2 METHODS BASED ON ELECTRICAL MODELS 64
4.3.3 METHODS BASED ON AN ELECTROCHEMICAL MODEL 66
4.4 METHODS FOR THE PREDICTION OF THE AVAILABLE POWER 67
4.5 METHODS FOR THE SOH ESTIMATION 69
4.6 METHODS FOR THE ESTIMATION OF THE REMAINING USEFUL LIFE (RUL) 70
5 PROPOSED APPROACHES FOR THE MONITORING OF LIBS IN BEVS 71
5.1 METHODS FOR THE ESTIMATION OF THE BATTERY IMPEDANCE PARAMETERS 71
5.1.1 EMPLOYED ECM OF THE BATTERY 72
5.1.2 LEAST-SQUARCS-BASED METHOD WITH AN INTERMEDIATE STORAGE OF THE
MEASURED DATA73
5.1.3 NOVEL ADAPTIVE VARIED-PARAMETERS-BASED METHOD 82
5.2 PREDICTION OF THE AVAILABLE POWER 99
5.2.1 DIFFERENT DEFINITIONS OF THE PREDICTION OF THE AVAILABLE POWER 99
5.2.2 BASIC ALGORITHM EMPLOYING THE ADAPTIVE VARIED-PARAMETERS APPROACH
FOR THE
ESTIMATION OF BATTERY IMPEDANCE PARAMETERS 100
5.2.3 EXTENDED ALGORITHM WITH AN ADDITIONAL CONSIDERATION OF THE
DIFFUSION
OVERVOLTAGE 119
5.3 ADAPTIVE ESTIMATION OF THE EMF AFTER CURRENT INTERRUPTION 127
5.3.1 OCV RELAXATION MODEL 127
5.3.2 ESTIMATION OF THE BATTEIY EMF 132
5.3.3 VERIFICATION RESULTS, APPLICATION FOR THE SOC ESTIMATION, AND THE
REAL-TIME
CAPABILITY OF THE PROPOSED ALGORITHM 141
5.4 ESTIMATION OF THE BATTERY CAPACITY 144
5.4.1 METHOD BASED ON THE ADAPTIVE ESTIMATION OF THE EMF 144
5.4.2 METHOD BASED ON THE OBSERVATION OF THE BATTERY VOLTAGE UNDER LOAD
146
5.5 FUNCTIONAL OVERVIEW OF THE TOTAL BATTERY MONITORING SYSTEM BASED ON
THE PROPOSED
METHODS 150
6 ASPECTS OF VERIFICATION OF BATTERY MONITORING ALGORITHMS 153
VII
6.1 APPROACHES FOR VERIFICATION OF BATTERY MONITORING ALGORITHMS 153
6.1.1 SIMULATIVE VERIFICATION USING MODELED BATTERY DATA 153
6.1.2 SIMULATIVE VERIFICATION USING BATTERY DATA MEASURED FROM A REAL
BATTERY 154
6.1.3 SOFTWARE-IN-THE-LOOP-BASED VERIFICATION 154
6.1.4 VERIFICATION IN A REAL APPLICATION 155
6.2 ROLE OF REPEAT ACCURACY OF REFERENCE MEASUREMENTS 155
6.3 IMPORTANCE OF EMPLOYING REALISTIC LOAD PROFILES FOR VERIFICATION
TESTS 158
7 SUMMARY AND FUTURE PROSPECTS 161
7.1 SUMMARY 161
7.2 FUTURE PROSPECTS 163
REFERENCES 165
LIST OF ABBREVIATIONS 198
LIST OF SYMBOLS 199
APPENDIX A. OVERVIEW OF COMPONENTS AVAILABLE FOR BMS HARDWARE 204
APPENDIX B. DEPENDENCE OF THE BATTERY IMPEDANCE CHARACTERISTIC ON SOC,
TEMPERATURE, AND
CURRENT FOR CELLS OF TYPE UR18650E MANUFACTURED BY SANYO ELECTRIC CO.,
LTD 206
APPENDIX C. DEPENDENCE OF THE BATTERY IMPEDANCE CHARACTERISTIC ON SOC,
TEMPERATURE, AND
CURRENT FOR CELLS OF TYPE OML1FE8AHC-HP MANUFACTURED BY O.M.T GMBH 213
APPENDIX D. OPEN-CIRCUIT VOLTAGE AND CAPACITY CHARACTERISTICS OF CELLS
OF TYPE UR18650E
MANUFACTURED BY SANYO ELECTRIC CO., LTD 220
APPENDIX E. MODELING THE CURRENT DEPENDENCE OF THE RESISTANCE R(JR) 223
APPENDIX F. DERIVATION OF TIME-DISCRETE MODEL EQUATIONS 225
APPENDIX G. PATTERN SEARCH-BASED METHOD FOR THE MINIMIZATION OF THE COST
FUNCTION USED BY
THE ESTIMATION OF THE MODEL PARAMETERS 227
APPENDIX H. ALTERNATIVE METHOD FOR THE ITERATIVE SEARCH OF THE LIMITING
BATTERY CURRENT 229
APPENDIX 1. CALCULATION OF PARAMETERS A, B, AND C OF THE APPROXIMATED
ERROR FUNCTION 231 |
| any_adam_object | 1 |
| author | Waag, Wladislaw 1980- |
| author_GND | (DE-588)1058352725 |
| author_facet | Waag, Wladislaw 1980- |
| author_role | aut |
| author_sort | Waag, Wladislaw 1980- |
| author_variant | w w ww |
| building | Verbundindex |
| bvnumber | BV042484500 |
| classification_rvk | ZN 8730 |
| ctrlnum | (OCoLC)887888874 (DE-599)DNB1054623333 |
| dewey-full | 621.312424 629.22930284 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics 629 - Other branches of engineering |
| dewey-raw | 621.312424 629.22930284 |
| dewey-search | 621.312424 629.22930284 |
| dewey-sort | 3621.312424 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Maschinenbau / Maschinenwesen Elektrotechnik / Elektronik / Nachrichtentechnik Verkehr / Transport |
| format | Thesis Book |
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| id | DE-604.BV042484500 |
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| indexdate | 2024-09-10T01:40:40Z |
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| isbn | 9783844029765 |
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| series | Aachener Beiträge des ISEA |
| series2 | Aachener Beiträge des ISEA |
| spelling | Waag, Wladislaw 1980- Verfasser (DE-588)1058352725 aut Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles Wladislaw Waag Aachen Shaker 2014 VII, 232 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Aachener Beiträge des ISEA 72 Zugl.: Aachen, Techn. Hochsch., Diss., 2014 Zustandsüberwachung (DE-588)4369492-5 gnd rswk-swf Lithium-Ionen-Akkumulator (DE-588)7681721-0 gnd rswk-swf On-Board-Diagnose (DE-588)7622892-7 gnd rswk-swf Elektrofahrzeug (DE-588)4151795-7 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Alterung (DE-588)4142063-9 gnd rswk-swf Ladekennlinie (DE-588)4355067-8 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Elektrofahrzeug (DE-588)4151795-7 s Lithium-Ionen-Akkumulator (DE-588)7681721-0 s On-Board-Diagnose (DE-588)7622892-7 s Ladekennlinie (DE-588)4355067-8 s Alterung (DE-588)4142063-9 s Zustandsüberwachung (DE-588)4369492-5 s Mathematisches Modell (DE-588)4114528-8 s DNB Erscheint auch als Online-Ausgabe Waag, Wladislaw Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles Aachener Beiträge des ISEA 72 (DE-604)BV005721577 72 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=4738145&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027919421&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Waag, Wladislaw 1980- Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles Aachener Beiträge des ISEA Zustandsüberwachung (DE-588)4369492-5 gnd Lithium-Ionen-Akkumulator (DE-588)7681721-0 gnd On-Board-Diagnose (DE-588)7622892-7 gnd Elektrofahrzeug (DE-588)4151795-7 gnd Mathematisches Modell (DE-588)4114528-8 gnd Alterung (DE-588)4142063-9 gnd Ladekennlinie (DE-588)4355067-8 gnd |
| subject_GND | (DE-588)4369492-5 (DE-588)7681721-0 (DE-588)7622892-7 (DE-588)4151795-7 (DE-588)4114528-8 (DE-588)4142063-9 (DE-588)4355067-8 (DE-588)4113937-9 |
| title | Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles |
| title_auth | Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles |
| title_exact_search | Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles |
| title_full | Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles Wladislaw Waag |
| title_fullStr | Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles Wladislaw Waag |
| title_full_unstemmed | Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles Wladislaw Waag |
| title_short | Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles |
| title_sort | adaptive algorithms for monitoring of lithium ion batteries in electric vehicles |
| topic | Zustandsüberwachung (DE-588)4369492-5 gnd Lithium-Ionen-Akkumulator (DE-588)7681721-0 gnd On-Board-Diagnose (DE-588)7622892-7 gnd Elektrofahrzeug (DE-588)4151795-7 gnd Mathematisches Modell (DE-588)4114528-8 gnd Alterung (DE-588)4142063-9 gnd Ladekennlinie (DE-588)4355067-8 gnd |
| topic_facet | Zustandsüberwachung Lithium-Ionen-Akkumulator On-Board-Diagnose Elektrofahrzeug Mathematisches Modell Alterung Ladekennlinie Hochschulschrift |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=4738145&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027919421&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV005721577 |
| work_keys_str_mv | AT waagwladislaw adaptivealgorithmsformonitoringoflithiumionbatteriesinelectricvehicles |