A systematic state-of-charge estimation framework for multi-cell battery pack in electric vehicles using bias correction technique

Applied Energy

Volumn 162, Issue , 2016, Pages 1399-1409

  Sun, Fengchun ^a   Xiong, Rui ^a   He, Hongwen ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Bias correction; Electric vehicles; Lithium ion polymer battery; Response surface approximate model; State of charge; Uncertainty

Indexed keywords

BATTERY MANAGEMENT SYSTEMS; CHARGING (BATTERIES); COMPLEX NETWORKS; ELECTRIC BATTERIES; ELECTRIC VEHICLES; ESTIMATION; IDENTIFICATION (CONTROL SYSTEMS); LITHIUM ALLOYS; LITHIUM-ION BATTERIES; RADIAL BASIS FUNCTION NETWORKS; SURFACE PROPERTIES; VEHICLES;

APPROXIMATE MODEL; BIAS CORRECTION; LITHIUM-ION POLYMER BATTERIES; STATE OF CHARGE; UNCERTAINTY;

SECONDARY BATTERIES;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ERROR CORRECTION; ESTIMATION METHOD; IDENTIFICATION METHOD; OPTIMIZATION; POLYMER; UNCERTAINTY ANALYSIS;

EID: 84923352487     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.12.021     Document Type: Article

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