Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55162
Title: A new battery available capacity indicator for electric vehicles using neural network
Authors: Shen, WX
Chan, CC
Lo, EWC 
Chau, KT
Keywords: Battery available capacity
Neural network model
Electric vehicles
Issue Date: 2002
Publisher: Pergamon Press
Source: Energy conversion and management, 2002, v. 43, no. 6, p. 817-826 How to cite?
Journal: Energy conversion and management 
Abstract: The ability to calculate the battery available capacity (BAC) for electric vehicles (EVs) is very important. Knowing the BAC and, thus, the driving range cannot only prevent EVs from being stranding on the road but also optimize the utilization of the battery energy storage in EVs. In order to determine the BAC, this paper presents a new neural network (NN) model of the leadâacid battery, based on the battery discharge current and temperature. Comparisons between the calculated BAC from the NN model and the measured BAC from experiments show good agreement. Furthermore, this new approach can readily be extended to the calculation of the BAC for other types of batteries.
URI: http://hdl.handle.net/10397/55162
ISSN: 0196-8904
EISSN: 1879-2227
DOI: 10.1016/S0196-8904(01)00078-4
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