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Volumn 2, Issue , 2009, Pages 375-380

State and parameter estimation of a HEV li-ion battery pack using adaptive kalman filter with a new SOC-OCV concept

Author keywords

Adaptive Kalman filter; HEV Li ion battery; Model; New SOC OCV concept; State and parameter estimation

Indexed keywords

ADAPTIVE KALMAN FILTER; BATTERY CONDITION; BATTERY PACK; DYNAMIC CHARACTERISTICS; EQUIVALENT CIRCUIT MODEL; HEV LI-ION BATTERY; HYBRID ELECTRIC VEHICLE; INNER RESISTANCE; LI-ION BATTERIES; NEW SOC-OCV CONCEPT; PARAMETER ESTIMATORS; STATE AND PARAMETER ESTIMATION; STATE OF CHARGE; TESTING RESULTS; WORKING CONDITIONS;

EID: 70449397129     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMTMA.2009.333     Document Type: Conference Paper
Times cited : (45)

References (11)
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  • 2
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  • 3
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  • 6
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    • Extended kalman filtering for battery management systems of LiPB-based HEV battery packs. Part 2. Modeling and identification
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    • Plett, G.1
  • 7
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  • 8
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.