State-of-charge estimation and uncertainty for lithium-ion battery strings
•A new state-of-charge (SOC) convention to accurately represent the state of the battery.•The best SOC estimation method is proposed and validated for a string of batteries.•Basic understanding of SOC from materials in electrodes to multi-cell strings is explained.•Error functions from five SOC esti...
Saved in:
Published in | Applied energy Vol. 119; pp. 218 - 227 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier Ltd
15.04.2014
Elsevier |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | •A new state-of-charge (SOC) convention to accurately represent the state of the battery.•The best SOC estimation method is proposed and validated for a string of batteries.•Basic understanding of SOC from materials in electrodes to multi-cell strings is explained.•Error functions from five SOC estimation methods are evaluated and compared.•Uncertainty on SOC estimation was estimated, discussed and explained.
The state-of-charge (SOC) estimation is of extreme importance for the reliability and safety of battery operation. How to estimate SOC and, to some degree, the SOC convention itself, is still a subject of great interest. Here a viable SOC convention valid for single cells and multi-cell strings is proposed and validated. Using a 3S1P string as an illustration in this work, the direct inference from a correct open circuit voltage versus SOC (OCV=f(SOC)) correspondence based on the proposed SOC convention is the best method for accurate SOC estimation among several possible approaches for strings. The thermodynamic aspect on this SOC convention is explained. Uncertainties in actual applications are also discussed. The understanding on this accurate SOC estimation approach shall facilitate reliable battery control and management. |
---|---|
AbstractList | The state-of-charge (SOC) estimation is of extreme importance for the reliability and safety of battery operation. How to estimate SOC and, to some degree, the SOC convention itself, is still a subject of great interest. Here a viable SOC convention valid for single cells and multi-cell strings is proposed and validated. Using a 3S1P string as an illustration in this work, the direct inference from a correct open circuit voltage versus SOC (OCV=f(SOC)) correspondence based on the proposed SOC convention is the best method for accurate SOC estimation among several possible approaches for strings. The thermodynamic aspect on this SOC convention is explained. Uncertainties in actual applications are also discussed. The understanding on this accurate SOC estimation approach shall facilitate reliable battery control and management. •A new state-of-charge (SOC) convention to accurately represent the state of the battery.•The best SOC estimation method is proposed and validated for a string of batteries.•Basic understanding of SOC from materials in electrodes to multi-cell strings is explained.•Error functions from five SOC estimation methods are evaluated and compared.•Uncertainty on SOC estimation was estimated, discussed and explained. The state-of-charge (SOC) estimation is of extreme importance for the reliability and safety of battery operation. How to estimate SOC and, to some degree, the SOC convention itself, is still a subject of great interest. Here a viable SOC convention valid for single cells and multi-cell strings is proposed and validated. Using a 3S1P string as an illustration in this work, the direct inference from a correct open circuit voltage versus SOC (OCV=f(SOC)) correspondence based on the proposed SOC convention is the best method for accurate SOC estimation among several possible approaches for strings. The thermodynamic aspect on this SOC convention is explained. Uncertainties in actual applications are also discussed. The understanding on this accurate SOC estimation approach shall facilitate reliable battery control and management. |
Author | Liaw, Bor Yann Dubarry, Matthieu Truchot, Cyril |
Author_xml | – sequence: 1 givenname: Cyril surname: Truchot fullname: Truchot, Cyril – sequence: 2 givenname: Matthieu surname: Dubarry fullname: Dubarry, Matthieu – sequence: 3 givenname: Bor Yann orcidid: 0000-0001-7431-1977 surname: Liaw fullname: Liaw, Bor Yann email: bliaw@hawaii.edu |
BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28238986$$DView record in Pascal Francis |
BookMark | eNqFkU1r3DAQhkXYQDYffyH4UujFrka2ZRt6aFnSpCGQQ9KzGMujjRavvJW0Bf_7artpD73sSQN63mF4n0u2cJMjxm6BF8BBftoUuCNHfj0XgkNZgCh4Jc_YEtpG5B1Au2BLXnKZCwndBbsMYcM5FyD4kj2-RIyUTybXb-jXlFGIdovRTi5DN2R7p8lHtC7OmZl8Ntr4Zvfb_PDfY4zk5yxEb906XLNzg2Ogm_f3iv34dve6esifnu-_r74-5bribcxBoikF6KGSQIZDX6cRSNRDb9LFFbUgWkTsOyHNYKDBpqxJ9iB0jV2P5RX7eNy789PPfbpXbW3QNI7oaNoHJVIrZcUbKU6iUJcJ5ryBhH54RzFoHI1Hp21QO5_a8LMSrSjbrpWJk0dO-ykET-YfAlwdfKiN-utDHXwoECr5SMHP_wW1jX-Kjh7teDr-5RinVO0vS14FbSnZGawnHdUw2VMrfgNHIK3q |
CODEN | APENDX |
CitedBy_id | crossref_primary_10_3390_en14154506 crossref_primary_10_1016_j_pecs_2019_01_001 crossref_primary_10_1016_j_est_2019_100838 crossref_primary_10_3390_wevj14120325 crossref_primary_10_1155_2015_573184 crossref_primary_10_1149_2_0841414jes crossref_primary_10_1002_er_5450 crossref_primary_10_1016_j_apenergy_2017_05_081 crossref_primary_10_1016_j_apenergy_2014_12_021 crossref_primary_10_1016_j_rser_2021_110801 crossref_primary_10_1016_j_jpowsour_2014_07_090 crossref_primary_10_3390_en9040255 crossref_primary_10_1016_S1452_3981_23_06692_0 crossref_primary_10_1149_1945_7111_ace21c crossref_primary_10_1016_j_est_2021_103273 crossref_primary_10_1016_j_electacta_2022_140760 crossref_primary_10_1016_j_energy_2016_08_109 crossref_primary_10_1016_j_apenergy_2017_09_025 crossref_primary_10_1109_ACCESS_2021_3068776 crossref_primary_10_1002_est2_291 crossref_primary_10_1016_j_est_2023_109890 crossref_primary_10_1109_ACCESS_2018_2884844 crossref_primary_10_1016_j_est_2023_108047 crossref_primary_10_1016_j_est_2022_104307 crossref_primary_10_1016_j_jpowsour_2015_11_087 crossref_primary_10_1016_j_est_2023_106787 crossref_primary_10_1016_j_est_2020_101830 crossref_primary_10_1520_JTE20170558 crossref_primary_10_1088_2515_7655_ab979b crossref_primary_10_1109_ACCESS_2020_2992206 crossref_primary_10_14801_jkiit_2023_21_5_49 crossref_primary_10_1016_j_apenergy_2017_05_176 crossref_primary_10_3390_en12030446 crossref_primary_10_3390_en8088244 crossref_primary_10_1016_j_jpowsour_2017_11_094 crossref_primary_10_1016_j_ijhydene_2017_09_169 crossref_primary_10_1007_s12239_016_0088_8 crossref_primary_10_1016_j_jpowsour_2015_08_091 crossref_primary_10_1016_j_jpowsour_2024_234590 crossref_primary_10_1007_s12239_021_0116_1 crossref_primary_10_1177_1550147719894526 crossref_primary_10_1016_j_jpowsour_2017_08_058 crossref_primary_10_1016_j_rser_2014_10_047 crossref_primary_10_1016_j_apenergy_2020_115153 crossref_primary_10_3390_s22155536 crossref_primary_10_3389_fenrg_2023_1087269 crossref_primary_10_1016_j_egyr_2019_12_008 crossref_primary_10_1155_2023_3648488 crossref_primary_10_1016_j_rser_2017_05_001 crossref_primary_10_1016_j_est_2018_11_012 crossref_primary_10_3390_en8087854 crossref_primary_10_3389_fenrg_2022_938467 crossref_primary_10_3390_electronics10131588 crossref_primary_10_1146_annurev_control_053018_023643 crossref_primary_10_1002_er_5374 crossref_primary_10_1016_j_est_2017_05_012 crossref_primary_10_1016_j_jpowsour_2016_04_125 crossref_primary_10_1149_1945_7111_ab6cf4 crossref_primary_10_3390_app112411797 crossref_primary_10_1016_j_apenergy_2017_08_124 crossref_primary_10_1016_j_est_2023_108777 crossref_primary_10_1016_j_jpowsour_2014_10_119 crossref_primary_10_3390_electronics9010152 crossref_primary_10_1016_j_est_2022_104860 crossref_primary_10_3390_electronics11111795 crossref_primary_10_1063_1_5046350 crossref_primary_10_1109_ACCESS_2020_3021745 crossref_primary_10_1016_j_jpowsour_2023_233777 crossref_primary_10_1016_j_est_2019_101031 crossref_primary_10_1063_1_4992815 crossref_primary_10_1016_j_apenergy_2016_06_069 crossref_primary_10_1016_j_est_2021_102424 crossref_primary_10_1016_j_jpowsour_2025_236185 crossref_primary_10_1016_j_jpowsour_2014_02_052 crossref_primary_10_3390_en16062925 crossref_primary_10_3390_electronics10030266 crossref_primary_10_1109_JPROC_2020_3047880 crossref_primary_10_1002_ese3_1477 crossref_primary_10_1016_j_jpowsour_2017_10_092 crossref_primary_10_1016_j_apenergy_2015_01_120 crossref_primary_10_1016_j_jpowsour_2017_03_010 crossref_primary_10_1149_2_0201506jes crossref_primary_10_1149_1945_7111_ac5a1a crossref_primary_10_1016_j_ifacol_2022_11_270 crossref_primary_10_1016_j_apenergy_2016_08_140 crossref_primary_10_1063_1_5029337 crossref_primary_10_1109_JESTPE_2021_3135019 crossref_primary_10_1016_j_est_2020_101489 crossref_primary_10_3390_batteries9110544 crossref_primary_10_1016_j_est_2016_09_008 crossref_primary_10_1016_j_apenergy_2015_05_103 crossref_primary_10_1016_j_est_2023_108707 crossref_primary_10_1016_j_apenergy_2015_09_048 crossref_primary_10_1016_j_apenergy_2014_09_027 crossref_primary_10_1016_j_jpowsour_2017_03_001 crossref_primary_10_1016_j_est_2024_114446 crossref_primary_10_3390_electronics6040102 crossref_primary_10_3390_wevj12010020 crossref_primary_10_1016_j_jechem_2024_01_040 crossref_primary_10_1038_s44359_024_00020_2 crossref_primary_10_1109_ACCESS_2019_2942213 crossref_primary_10_3390_en17081824 |
Cites_doi | 10.1016/j.apenergy.2013.09.006 10.1016/j.apenergy.2013.07.008 10.1016/j.jpowsour.2012.10.060 10.1016/j.jpowsour.2012.07.016 10.1149/1.2133112 10.1016/j.jpowsour.2009.05.036 10.1149/2.063301jes 10.1016/j.jpowsour.2012.09.015 10.1016/j.jpowsour.2007.06.157 10.1016/j.jpowsour.2010.05.058 10.1016/j.apenergy.2011.08.002 10.1016/j.jpowsour.2011.08.077 10.1016/j.apenergy.2012.02.044 10.1149/2.088206jes 10.1016/j.jpowsour.2011.08.078 10.1016/j.jpowsour.2008.10.051 10.1016/j.apenergy.2011.08.005 10.1016/j.jpowsour.2006.10.046 10.1016/j.apenergy.2012.11.046 10.1016/j.jpowsour.2010.07.029 10.1002/er.1668 10.1016/j.jpowsour.2013.06.108 10.1016/S0378-7753(01)00560-2 10.1016/j.apenergy.2013.07.061 10.1016/j.jpowsour.2007.06.185 10.1149/1.2221767 |
ContentType | Journal Article |
Copyright | 2013 Elsevier Ltd 2015 INIST-CNRS |
Copyright_xml | – notice: 2013 Elsevier Ltd – notice: 2015 INIST-CNRS |
DBID | AAYXX CITATION IQODW 7TA 7TB 8FD F28 FR3 JG9 7S9 L.6 |
DOI | 10.1016/j.apenergy.2013.12.046 |
DatabaseName | CrossRef Pascal-Francis Materials Business File Mechanical & Transportation Engineering Abstracts Technology Research Database ANTE: Abstracts in New Technology & Engineering Engineering Research Database Materials Research Database AGRICOLA AGRICOLA - Academic |
DatabaseTitle | CrossRef Materials Research Database Engineering Research Database Technology Research Database Mechanical & Transportation Engineering Abstracts ANTE: Abstracts in New Technology & Engineering Materials Business File AGRICOLA AGRICOLA - Academic |
DatabaseTitleList | AGRICOLA Materials Research Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering Environmental Sciences Applied Sciences |
EISSN | 1872-9118 |
EndPage | 227 |
ExternalDocumentID | 28238986 10_1016_j_apenergy_2013_12_046 S0306261913010556 |
GroupedDBID | --K --M .~1 0R~ 1B1 1~. 1~5 23M 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AARJD AAXUO ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFS ACRLP ADBBV ADEZE ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHIDL AHJVU AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BELTK BJAXD BKOJK BLXMC CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA IHE J1W JARJE JJJVA KOM LY6 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RIG ROL RPZ SDF SDG SES SPC SPCBC SSR SST SSZ T5K TN5 ~02 ~G- AAHBH AAQXK AATTM AAXKI AAYOK AAYWO AAYXX ABEFU ABFNM ABWVN ACNNM ACRPL ACVFH ADCNI ADMUD ADNMO AEIPS AEUPX AFJKZ AFPUW AFXIZ AGCQF AGQPQ AGRNS AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN BNPGV CITATION FEDTE FGOYB G-2 HVGLF HZ~ R2- SAC SEW SSH WUQ ZY4 ABTAH IQODW 7TA 7TB 8FD F28 FR3 JG9 7S9 L.6 |
ID | FETCH-LOGICAL-c408t-16af321cd461ef01b5cd41e25dbf1874e8128aaab926fdf17a735e6b12c5a9ba3 |
IEDL.DBID | .~1 |
ISSN | 0306-2619 |
IngestDate | Fri Jul 11 03:21:26 EDT 2025 Thu Jul 10 19:05:23 EDT 2025 Wed Apr 02 07:15:07 EDT 2025 Tue Jul 01 03:05:22 EDT 2025 Thu Apr 24 23:01:04 EDT 2025 Fri Feb 23 02:36:58 EST 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | State function BMS Uncertainty Battery strings State-of-charge (SOC) estimation Cell variability Variability Battery Lithium |
Language | English |
License | CC BY 4.0 |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c408t-16af321cd461ef01b5cd41e25dbf1874e8128aaab926fdf17a735e6b12c5a9ba3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0001-7431-1977 |
PQID | 1531010071 |
PQPubID | 23500 |
PageCount | 10 |
ParticipantIDs | proquest_miscellaneous_2101340762 proquest_miscellaneous_1531010071 pascalfrancis_primary_28238986 crossref_primary_10_1016_j_apenergy_2013_12_046 crossref_citationtrail_10_1016_j_apenergy_2013_12_046 elsevier_sciencedirect_doi_10_1016_j_apenergy_2013_12_046 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2014-04-15 |
PublicationDateYYYYMMDD | 2014-04-15 |
PublicationDate_xml | – month: 04 year: 2014 text: 2014-04-15 day: 15 |
PublicationDecade | 2010 |
PublicationPlace | Kidlington |
PublicationPlace_xml | – name: Kidlington |
PublicationTitle | Applied energy |
PublicationYear | 2014 |
Publisher | Elsevier Ltd Elsevier |
Publisher_xml | – name: Elsevier Ltd – name: Elsevier |
References | Dubarry, Svoboda, Hwu, Liaw (b0115) 2007; 165 Lu, Han, Li, Hua, Ouyang (b0005) 2013; 226 Hu, Youn, Chung (b0095) 2012; 92 Dubarry, Truchot, Liaw, Gering, Sazhin, Jamison (b0030) 2011; 196 Dubarry, Vuillaume, Liaw (b0010) 2010; 34 Piller, Perrin, Jossen (b0070) 2001; 96 Xiong, Sun, Gong, Gao (b0110) 2014; 113 Sepasi, Ghorbani, Liaw (b0100) 2014; 245 Jensen, Engelbrecht, Bernuy-Lopez (b0090) 2012; 159 Dubarry, Liaw (b0045) 2009; 194 Dubarry, Truchot, Liaw, Gering, Sazhin, Jamison (b0130) 2013; 160 Plett GL. Efficient battery pack state estimation using bar delta filtering. In: International battery, hybrid and fuel cell electric vehicle symposium. Stavenger, Norway; 2009. p. 1–8. Zheng, Han, Lu, Li, Ouyang (b0085) 2013; 223 Dubarry, Svoboda, Hwu, Liaw (b0120) 2006; 9 USABC. Electric Vehicle Battery Test Procedures Manual. Glossary of battery and battery testing terminology for the USABC battery test procedures appendix F: USABC; 2009. p. 1–10. He, Xiong, Guo (b0065) 2012; 89 Gering, Sazhin, Jamison, Michelbacher, Liaw, Dubarry (b0025) 2011; 196 Dai, Wei, Sun, Wang, Gu (b0060) 2012; 95 Dubarry, Liaw, Chen, Chyan, Han, Sie (b0040) 2011; 196 Dubarry, Truchot, Liaw (b0020) 2012; 219 Xiong, Sun, Chen, He (b0105) 2014; 113 Xing, He, Pecht, Tsui (b0080) 2014; 113 Tong, Same, Kootstra, Park (b0075) 2013; 104 Dubarry, Svoboda, Hwu, Liaw (b0050) 2007; 174 Dubarry, Truchot, Cugnet, Liaw, Gering, Sazhin (b0035) 2011; 196 Huggins (b0135) 2009 Weppner, Huggins (b0140) 1977; 124 Dubarry, Vuillaume, Liaw (b0015) 2009; 186 Dubarry, Liaw (b0145) 2007; 174 Huggins (10.1016/j.apenergy.2013.12.046_b0135) 2009 Dubarry (10.1016/j.apenergy.2013.12.046_b0035) 2011; 196 Dubarry (10.1016/j.apenergy.2013.12.046_b0050) 2007; 174 10.1016/j.apenergy.2013.12.046_b0125 Weppner (10.1016/j.apenergy.2013.12.046_b0140) 1977; 124 Xiong (10.1016/j.apenergy.2013.12.046_b0105) 2014; 113 Dubarry (10.1016/j.apenergy.2013.12.046_b0115) 2007; 165 Hu (10.1016/j.apenergy.2013.12.046_b0095) 2012; 92 Xiong (10.1016/j.apenergy.2013.12.046_b0110) 2014; 113 Gering (10.1016/j.apenergy.2013.12.046_b0025) 2011; 196 Jensen (10.1016/j.apenergy.2013.12.046_b0090) 2012; 159 10.1016/j.apenergy.2013.12.046_b0055 Dubarry (10.1016/j.apenergy.2013.12.046_b0015) 2009; 186 Tong (10.1016/j.apenergy.2013.12.046_b0075) 2013; 104 Xing (10.1016/j.apenergy.2013.12.046_b0080) 2014; 113 Lu (10.1016/j.apenergy.2013.12.046_b0005) 2013; 226 He (10.1016/j.apenergy.2013.12.046_b0065) 2012; 89 Sepasi (10.1016/j.apenergy.2013.12.046_b0100) 2014; 245 Dubarry (10.1016/j.apenergy.2013.12.046_b0145) 2007; 174 Zheng (10.1016/j.apenergy.2013.12.046_b0085) 2013; 223 Dubarry (10.1016/j.apenergy.2013.12.046_b0030) 2011; 196 Dubarry (10.1016/j.apenergy.2013.12.046_b0120) 2006; 9 Dubarry (10.1016/j.apenergy.2013.12.046_b0020) 2012; 219 Dubarry (10.1016/j.apenergy.2013.12.046_b0045) 2009; 194 Dubarry (10.1016/j.apenergy.2013.12.046_b0010) 2010; 34 Dai (10.1016/j.apenergy.2013.12.046_b0060) 2012; 95 Dubarry (10.1016/j.apenergy.2013.12.046_b0130) 2013; 160 Dubarry (10.1016/j.apenergy.2013.12.046_b0040) 2011; 196 Piller (10.1016/j.apenergy.2013.12.046_b0070) 2001; 96 |
References_xml | – volume: 223 start-page: 136 year: 2013 end-page: 146 ident: b0085 article-title: Lithium ion battery pack power fade fault identification based on Shannon entropy in electric vehicles publication-title: J Power Sources – reference: USABC. Electric Vehicle Battery Test Procedures Manual. Glossary of battery and battery testing terminology for the USABC battery test procedures appendix F: USABC; 2009. p. 1–10. – volume: 96 start-page: 113 year: 2001 end-page: 120 ident: b0070 article-title: Methods for state-of-charge determination and their applications publication-title: J Power Sources – volume: 219 start-page: 204 year: 2012 end-page: 216 ident: b0020 article-title: Synthesize battery degradation modes via a diagnostic and prognostic model publication-title: J Power Sources – volume: 174 start-page: 1121 year: 2007 end-page: 1125 ident: b0050 article-title: Capacity loss in rechargeable lithium cells during cycle life testing: the importance of determining state-of-charge publication-title: J Power Sources – volume: 160 year: 2013 ident: b0130 article-title: Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications: III. Effect of thermal excursions without prolonged thermal aging publication-title: J Electrochem Soc – volume: 194 start-page: 541 year: 2009 end-page: 549 ident: b0045 article-title: Identify capacity fading mechanism in a commercial LiFePO publication-title: J Power Sources – volume: 186 start-page: 500 year: 2009 end-page: 507 ident: b0015 article-title: From single cell model to battery pack simulation for Li-ion batteries publication-title: J Power Sources – volume: 165 start-page: 566 year: 2007 end-page: 572 ident: b0115 article-title: Capacity and power fading mechanism identification from a commercial cell evaluation publication-title: J Power Sources – volume: 113 start-page: 106 year: 2014 end-page: 115 ident: b0080 article-title: State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures publication-title: Appl Energy – volume: 92 start-page: 694 year: 2012 end-page: 704 ident: b0095 article-title: A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation publication-title: Appl Energy – volume: 124 start-page: 1569 year: 1977 end-page: 1578 ident: b0140 article-title: Determination of the kinetic parameters of mixed-conducting electrodes and application to the system LiSb publication-title: J Electrochem Soc – volume: 196 start-page: 3420 year: 2011 end-page: 3425 ident: b0040 article-title: Identifying battery aging mechanisms in large format Li ion cells publication-title: J Power Sources – volume: 95 start-page: 227 year: 2012 end-page: 237 ident: b0060 article-title: Online cell SOC estimation of Li-ion battery packs using a dual time-scale Kalman filtering for EV applications publication-title: Appl Energy – volume: 159 start-page: A791 year: 2012 ident: b0090 article-title: Measurements of electric performance and impedance of a 75 Ah NMC lithium battery module publication-title: J Electrochem Soc – volume: 113 start-page: 463 year: 2014 end-page: 476 ident: b0105 article-title: A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles publication-title: Appl Energy – volume: 196 start-page: 3395 year: 2011 end-page: 3403 ident: b0025 article-title: Investigation of path dependence in commercial lithium-ion cells chosen for plug-in hybrid vehicle duty cycle protocols publication-title: J Power Sources – volume: 245 start-page: 337 year: 2014 end-page: 344 ident: b0100 article-title: A novel on-board state-of-charge estimation method for aged Li-ion batteries based on model adaptive extended Kalman filter publication-title: J Power Sources – volume: 89 start-page: 413 year: 2012 end-page: 420 ident: b0065 article-title: Online estimation of model parameters and state-of-charge of LiFePO publication-title: Appl Energy – volume: 9 year: 2006 ident: b0120 article-title: Incremental capacity analysis and close-to-equilibrium OCV measurements to quantify capacity fade in commercial rechargeable lithium batteries publication-title: Electrochem Solid-State Lett – volume: 104 start-page: 740 year: 2013 end-page: 750 ident: b0075 article-title: Off-grid photovoltaic vehicle charge using second life lithium batteries: an experimental and numerical investigation publication-title: Appl Energy – volume: 226 start-page: 272 year: 2013 end-page: 288 ident: b0005 article-title: A review on the key issues for lithium-ion battery management in electric vehicles publication-title: J Power Sources – volume: 196 start-page: 10328 year: 2011 end-page: 10335 ident: b0035 article-title: Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications. Part I: Initial characterizations publication-title: J Power Sources – volume: 113 start-page: 1421 year: 2014 end-page: 1433 ident: b0110 article-title: A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles publication-title: Appl Energy – year: 2009 ident: b0135 article-title: Advanced batteries: materials science aspects – volume: 34 start-page: 216 year: 2010 end-page: 231 ident: b0010 article-title: Origins and accommodation of cell variations in Li-ion battery pack modeling publication-title: Int J Energy Res – volume: 174 start-page: 856 year: 2007 end-page: 860 ident: b0145 article-title: Development of a universal modeling tool for rechargeable lithium batteries publication-title: J Power Sources – volume: 196 start-page: 10336 year: 2011 end-page: 10343 ident: b0030 article-title: Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications. Part II. Degradation mechanism under 2C cycle aging publication-title: J Power Sources – reference: Plett GL. Efficient battery pack state estimation using bar delta filtering. In: International battery, hybrid and fuel cell electric vehicle symposium. Stavenger, Norway; 2009. p. 1–8. – volume: 113 start-page: 1421 year: 2014 ident: 10.1016/j.apenergy.2013.12.046_b0110 article-title: A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles publication-title: Appl Energy doi: 10.1016/j.apenergy.2013.09.006 – volume: 113 start-page: 106 year: 2014 ident: 10.1016/j.apenergy.2013.12.046_b0080 article-title: State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures publication-title: Appl Energy doi: 10.1016/j.apenergy.2013.07.008 – ident: 10.1016/j.apenergy.2013.12.046_b0055 – volume: 226 start-page: 272 year: 2013 ident: 10.1016/j.apenergy.2013.12.046_b0005 article-title: A review on the key issues for lithium-ion battery management in electric vehicles publication-title: J Power Sources doi: 10.1016/j.jpowsour.2012.10.060 – volume: 219 start-page: 204 year: 2012 ident: 10.1016/j.apenergy.2013.12.046_b0020 article-title: Synthesize battery degradation modes via a diagnostic and prognostic model publication-title: J Power Sources doi: 10.1016/j.jpowsour.2012.07.016 – volume: 124 start-page: 1569 year: 1977 ident: 10.1016/j.apenergy.2013.12.046_b0140 article-title: Determination of the kinetic parameters of mixed-conducting electrodes and application to the system LiSb publication-title: J Electrochem Soc doi: 10.1149/1.2133112 – volume: 194 start-page: 541 year: 2009 ident: 10.1016/j.apenergy.2013.12.046_b0045 article-title: Identify capacity fading mechanism in a commercial LiFePO4 cell publication-title: J Power Sources doi: 10.1016/j.jpowsour.2009.05.036 – volume: 160 year: 2013 ident: 10.1016/j.apenergy.2013.12.046_b0130 article-title: Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications: III. Effect of thermal excursions without prolonged thermal aging publication-title: J Electrochem Soc doi: 10.1149/2.063301jes – volume: 223 start-page: 136 year: 2013 ident: 10.1016/j.apenergy.2013.12.046_b0085 article-title: Lithium ion battery pack power fade fault identification based on Shannon entropy in electric vehicles publication-title: J Power Sources doi: 10.1016/j.jpowsour.2012.09.015 – volume: 174 start-page: 856 year: 2007 ident: 10.1016/j.apenergy.2013.12.046_b0145 article-title: Development of a universal modeling tool for rechargeable lithium batteries publication-title: J Power Sources doi: 10.1016/j.jpowsour.2007.06.157 – volume: 196 start-page: 3395 year: 2011 ident: 10.1016/j.apenergy.2013.12.046_b0025 article-title: Investigation of path dependence in commercial lithium-ion cells chosen for plug-in hybrid vehicle duty cycle protocols publication-title: J Power Sources doi: 10.1016/j.jpowsour.2010.05.058 – year: 2009 ident: 10.1016/j.apenergy.2013.12.046_b0135 – volume: 92 start-page: 694 year: 2012 ident: 10.1016/j.apenergy.2013.12.046_b0095 article-title: A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation publication-title: Appl Energy doi: 10.1016/j.apenergy.2011.08.002 – volume: 196 start-page: 10328 year: 2011 ident: 10.1016/j.apenergy.2013.12.046_b0035 article-title: Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications. Part I: Initial characterizations publication-title: J Power Sources doi: 10.1016/j.jpowsour.2011.08.077 – volume: 95 start-page: 227 year: 2012 ident: 10.1016/j.apenergy.2013.12.046_b0060 article-title: Online cell SOC estimation of Li-ion battery packs using a dual time-scale Kalman filtering for EV applications publication-title: Appl Energy doi: 10.1016/j.apenergy.2012.02.044 – volume: 159 start-page: A791 year: 2012 ident: 10.1016/j.apenergy.2013.12.046_b0090 article-title: Measurements of electric performance and impedance of a 75 Ah NMC lithium battery module publication-title: J Electrochem Soc doi: 10.1149/2.088206jes – volume: 196 start-page: 10336 year: 2011 ident: 10.1016/j.apenergy.2013.12.046_b0030 article-title: Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications. Part II. Degradation mechanism under 2C cycle aging publication-title: J Power Sources doi: 10.1016/j.jpowsour.2011.08.078 – volume: 186 start-page: 500 year: 2009 ident: 10.1016/j.apenergy.2013.12.046_b0015 article-title: From single cell model to battery pack simulation for Li-ion batteries publication-title: J Power Sources doi: 10.1016/j.jpowsour.2008.10.051 – volume: 89 start-page: 413 year: 2012 ident: 10.1016/j.apenergy.2013.12.046_b0065 article-title: Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles publication-title: Appl Energy doi: 10.1016/j.apenergy.2011.08.005 – volume: 165 start-page: 566 year: 2007 ident: 10.1016/j.apenergy.2013.12.046_b0115 article-title: Capacity and power fading mechanism identification from a commercial cell evaluation publication-title: J Power Sources doi: 10.1016/j.jpowsour.2006.10.046 – volume: 104 start-page: 740 year: 2013 ident: 10.1016/j.apenergy.2013.12.046_b0075 article-title: Off-grid photovoltaic vehicle charge using second life lithium batteries: an experimental and numerical investigation publication-title: Appl Energy doi: 10.1016/j.apenergy.2012.11.046 – volume: 196 start-page: 3420 year: 2011 ident: 10.1016/j.apenergy.2013.12.046_b0040 article-title: Identifying battery aging mechanisms in large format Li ion cells publication-title: J Power Sources doi: 10.1016/j.jpowsour.2010.07.029 – volume: 34 start-page: 216 year: 2010 ident: 10.1016/j.apenergy.2013.12.046_b0010 article-title: Origins and accommodation of cell variations in Li-ion battery pack modeling publication-title: Int J Energy Res doi: 10.1002/er.1668 – volume: 245 start-page: 337 year: 2014 ident: 10.1016/j.apenergy.2013.12.046_b0100 article-title: A novel on-board state-of-charge estimation method for aged Li-ion batteries based on model adaptive extended Kalman filter publication-title: J Power Sources doi: 10.1016/j.jpowsour.2013.06.108 – volume: 96 start-page: 113 year: 2001 ident: 10.1016/j.apenergy.2013.12.046_b0070 article-title: Methods for state-of-charge determination and their applications publication-title: J Power Sources doi: 10.1016/S0378-7753(01)00560-2 – volume: 113 start-page: 463 year: 2014 ident: 10.1016/j.apenergy.2013.12.046_b0105 article-title: A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles publication-title: Appl Energy doi: 10.1016/j.apenergy.2013.07.061 – ident: 10.1016/j.apenergy.2013.12.046_b0125 – volume: 174 start-page: 1121 year: 2007 ident: 10.1016/j.apenergy.2013.12.046_b0050 article-title: Capacity loss in rechargeable lithium cells during cycle life testing: the importance of determining state-of-charge publication-title: J Power Sources doi: 10.1016/j.jpowsour.2007.06.185 – volume: 9 year: 2006 ident: 10.1016/j.apenergy.2013.12.046_b0120 article-title: Incremental capacity analysis and close-to-equilibrium OCV measurements to quantify capacity fade in commercial rechargeable lithium batteries publication-title: Electrochem Solid-State Lett doi: 10.1149/1.2221767 |
SSID | ssj0002120 |
Score | 2.4847453 |
Snippet | •A new state-of-charge (SOC) convention to accurately represent the state of the battery.•The best SOC estimation method is proposed and validated for a string... The state-of-charge (SOC) estimation is of extreme importance for the reliability and safety of battery operation. How to estimate SOC and, to some degree, the... |
SourceID | proquest pascalfrancis crossref elsevier |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 218 |
SubjectTerms | Applied sciences Battery Battery strings BMS Cell variability Conventions Direct energy conversion and energy accumulation electric power Electrical engineering. Electrical power engineering Electrical power engineering Electrochemical conversion: primary and secondary batteries, fuel cells Energy Exact sciences and technology lithium batteries Lithium-ion batteries Management Open circuit voltage Product safety State function State-of-charge (SOC) estimation Strings thermodynamics Uncertainty |
Title | State-of-charge estimation and uncertainty for lithium-ion battery strings |
URI | https://dx.doi.org/10.1016/j.apenergy.2013.12.046 https://www.proquest.com/docview/1531010071 https://www.proquest.com/docview/2101340762 |
Volume | 119 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwELYQLCCEoIAojypIrKa1YzvxiKpWBUQXQGKz7MSBIkgr0g4s_HbOTkKpAHVgy-OcWD777nNy3x1CZ8KkQiRpihk3CWZMMywjG2FpmSadkPGS9X4zFIN7dvXAH1ZQt-bCuLDKyvaXNt1b6-pKuxrN9mQ0at86tOvwP1hhX-XRMdhZ5Gb5-cc8zINWqRlBGDvpbyzh53M9sZ5h50K8Qv9Z0AHh3x3U5kQXMGxZWe_ih-n2_qi_jbYqIBlclH3dQSs2b6CNb-kFG2i_N2exgWi1jItddOUhJh5n2CdKsoFLtVFyGAOdpwH4ujJSYPoeAKgNAKo_jWav2N03PiHne-DqfeSPxR667_fuugNcFVXACevEU0yEzkJKkpQJYrMOMRwOiaU8NZmrz2fB48daayOpyNKMRDoKuRWG0IRraXS4j1bzcW4PUECJkIZyHbNYMGGoiXRmaSiNlDyWNmkiXo-kSqqM467wxYuqQ8ueVa0B5TSgCFWggSZqf7WblDk3lraQtaLUwuxR4BiWtm0taPbrlbAZBTQXg8BprWoFa8_9UNG5Hc8KBd4CHuxQ2t8ysKUmIeyaBT38RyeP0Dqc-ZAhwo_R6vRtZk8ADU1Ny0_3Flq7uLweDD8BhhgL-A |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3dT9swED9BeRgITeNLwDaWSXs1rR3biR8rVFS--gJIvFl24kDRlla0feC_5-w4HWibeNhbFJ8Ty2ff_Zzc_Q7gh7SllEVZEi5sQTg3nKjMZUQ5bmgv5aLJer8ayeEtP78Tdytw0ubC-LDKaPsbmx6sdbzTjbPZnY7H3WuPdj3-RyscqjyuwppnpxIdWOufXQxHS4PMIjsjyhPf4VWi8OOxmbqQZOejvNLwZdBj4b_7qM2pmeHMVU3Jiz-sd3BJp5_gY8SSSb8Z7hasuHobNl4xDG7D3uB3IhuKxp0824HzgDLJpCKBK8klnm2jSWNMTF0m6O6aYIH5c4K4NkG0_jBe_CK-3QZOzufEl_yo72e7cHs6uDkZklhXgRS8l88JlaZKGS1KLqmretQKvKSOidJWvkSfQ6efG2OsYrIqK5qZLBVOWsoKYZQ16R506knt9iFhVCrLhMl5Lrm0zGamcixVVimRK1ccgGhnUheRdNzXvvip2-iyR91qQHsNaMo0auAAust-04Z2490eqlWUfrOANPqGd_sevdHs8pV4HkVAl6PA91bVGref_6diajdZzDQ6DHywB2r_lsFTNU3x4CzZ4X8M8ht8GN5cXerLs9HFZ1jHlhBBRMUX6MyfFu4rgqO5PYqL_wWjWQ6p |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=State-of-charge+estimation+and+uncertainty+for+lithium-ion+battery+strings&rft.jtitle=Applied+energy&rft.au=Truchot%2C+Cyril&rft.au=Dubarry%2C+Matthieu&rft.au=Liaw%2C+Bor+Yann&rft.date=2014-04-15&rft.issn=0306-2619&rft.volume=119+p.218-227&rft.spage=218&rft.epage=227&rft_id=info:doi/10.1016%2Fj.apenergy.2013.12.046&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0306-2619&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0306-2619&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0306-2619&client=summon |