State-of-charge and state-of-health prediction of lead-acid batteries for hybrid electric vehicles using non-linear observers

2005 European Conference on Power Electronics and Applications

Volumn 2005, Issue , 2005, Pages

  Bhangu, B S ^a   Bentley, P ^a   Stone, D A ^a   Bingham, C M ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Battery management systems (BMS); Energy storage; Estimation technique; Hybrid electric vehicle (HEV); Modelling

Indexed keywords

ELECTRIC VEHICLES; ENERGY STORAGE; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; OBSERVABILITY;

BATTERY MANAGEMENT SYSTEMS (BMS); ESTIMATION TECHNIQUES; HYBRID ELECTRIC VEHICLE (HEV); STATE DIVERGENCE;

LEAD ACID BATTERIES;

EID: 33947689835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/epe.2005.219601     Document Type: Conference Paper

References (4)

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2. V. H. Johnson, A. A. Pesaran, and T. Sack, "Temperature-dependent battery models for high-power lithium-ion batteries," presented at the Proc. EVS 17, Montreal, PQ, Canada, 2000.
3. nd Int. Power Electronics Machines and Drives Conf. (PEMD'04), vol. 1, Edinburgh, U.K., pp. 49-54, 2004.
4. Hollenkamp, Baldsing, Lim et al. "Overcoming negative-plate capacity loss in VRLA batteries cycled under partial state-of-charge duty," ALABC Investigation report ET/IR398R, 2001.