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- Publisher Website: 10.1016/S0196-8904(01)00078-4
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Article: A new battery available capacity indicator for electric vehicles using neural network
Title | A new battery available capacity indicator for electric vehicles using neural network |
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Authors | |
Keywords | Battery available capacity Electric vehicles Neural network model |
Issue Date | 2002 |
Publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/enconman |
Citation | Energy Conversion And Management, 2002, v. 43 n. 6, p. 817-826 How to Cite? |
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 lead-acid 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. © 2002 Elsevier Science Ltd. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/73903 |
ISSN | 2023 Impact Factor: 9.9 2023 SCImago Journal Rankings: 2.553 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shen, WX | en_HK |
dc.contributor.author | Chan, CC | en_HK |
dc.contributor.author | Lo, EWC | en_HK |
dc.contributor.author | Chau, KT | en_HK |
dc.date.accessioned | 2010-09-06T06:55:53Z | - |
dc.date.available | 2010-09-06T06:55:53Z | - |
dc.date.issued | 2002 | en_HK |
dc.identifier.citation | Energy Conversion And Management, 2002, v. 43 n. 6, p. 817-826 | en_HK |
dc.identifier.issn | 0196-8904 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/73903 | - |
dc.description.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 lead-acid 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. © 2002 Elsevier Science Ltd. All rights reserved. | en_HK |
dc.language | eng | en_HK |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/enconman | en_HK |
dc.relation.ispartof | Energy Conversion and Management | en_HK |
dc.subject | Battery available capacity | en_HK |
dc.subject | Electric vehicles | en_HK |
dc.subject | Neural network model | en_HK |
dc.title | A new battery available capacity indicator for electric vehicles using neural network | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0196-8904&volume=43&issue=6&spage=817&epage=826&date=2002&atitle=A+new+battery+available+capacity+indicator+for+electric+vehicles+using+neural+network | en_HK |
dc.identifier.email | Chau, KT:ktchau@eee.hku.hk | en_HK |
dc.identifier.authority | Chau, KT=rp00096 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/S0196-8904(01)00078-4 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0036532847 | en_HK |
dc.identifier.hkuros | 70864 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0036532847&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 43 | en_HK |
dc.identifier.issue | 6 | en_HK |
dc.identifier.spage | 817 | en_HK |
dc.identifier.epage | 826 | en_HK |
dc.identifier.isi | WOS:000174569500006 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Shen, WX=15756297100 | en_HK |
dc.identifier.scopusauthorid | Chan, CC=7404813179 | en_HK |
dc.identifier.scopusauthorid | Lo, EWC=7101706013 | en_HK |
dc.identifier.scopusauthorid | Chau, KT=7202674641 | en_HK |
dc.identifier.issnl | 0196-8904 | - |