Holdings: Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles

Adaptive algorithms for monitoring of lithium-ion batteries in electric vehicles:

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Bibliographic Details
Main Author:	Waag, Wladislaw 1980- (Author)
Format:	Thesis Book
Language:	English
Published:	Aachen Shaker 2014
Series:	Aachener Beiträge des ISEA 72
Subjects:	Zustandsüberwachung Lithium-Ionen-Akkumulator On-Board-Diagnose Elektrofahrzeug Mathematisches Modell Alterung Ladekennlinie Hochschulschrift
Online Access:	Inhaltstext Inhaltsverzeichnis
Physical Description:	VII, 232 S. graph. Darst.
ISBN:	9783844029765

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MARC


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Record in the Search Index

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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-
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dewey-hundreds	600 - Technology (Applied sciences)
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dewey-raw	621.312424 629.22930284
dewey-search	621.312424 629.22930284
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dewey-tens	620 - Engineering and allied operations
discipline	Maschinenbau / Maschinenwesen Elektrotechnik / Elektronik / Nachrichtentechnik Verkehr / Transport
format	Thesis Book
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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
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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

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