An online model-based method for state of energy estimation of lithium-ion batteries using dual filters

Journal of Power Sources

Volumn 301, Issue , 2016, Pages 277-286

  Dong, Guangzhong ^a   Chen, Zonghai ^a   Wei, Jingwen ^a   Zhang, Chenbin ^a   Wang, Peng ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Lithium ion battery; Model based; Particle filter; State of energy

Indexed keywords

BATTERY MANAGEMENT SYSTEMS; DYNAMIC LOADS; ELECTRIC BATTERIES; ELECTRIC POWER TRANSMISSION NETWORKS; EXTENDED KALMAN FILTERS; IONS; KALMAN FILTERS; LITHIUM; LITHIUM ALLOYS; LITHIUM COMPOUNDS; MONTE CARLO METHODS; OPEN CIRCUIT VOLTAGE; SECONDARY BATTERIES; SMART POWER GRIDS;

ENERGY STORAGE SYSTEMS; ENVIRONMENT TEMPERATURE; MODEL-BASED OPC; OPERATING CURRENTS; PARTICLE FILTER; STATE-OF-ENERGY; THREE-DIMENSIONAL RESPONSE; UNCERTAIN DYNAMICS;

LITHIUM-ION BATTERIES;

EID: 84944229299     PISSN: 03787753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpowsour.2015.10.011     Document Type: Article

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