Development of battery management systems (BMS) for electric vehicles (EVs) in Malaysia

Battery Management Systems (BMS) is an electronic devices component, which is a vital fundamental device connected between the charger and the battery of the hybrid or electric vehicle (EV) systems. Thus, BMS significantly enable for safety protection and reliable battery management by performing of...

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Main Authors: Salehen P.M.W., Su’ait M.S., Razali H., Sopian K.
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20179001001
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spelling doaj-bfe7e1d7f715415996dabe815cadc6972021-02-02T01:57:40ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-01900100110.1051/matecconf/20179001001matecconf_aigev2017_01001Development of battery management systems (BMS) for electric vehicles (EVs) in MalaysiaSalehen P.M.W.0Su’ait M.S.1Razali H.2Sopian K.Solar Energy Research Institute (SERI), Universiti Kebangsaan MalaysiaSolar Energy Research Institute (SERI), Universiti Kebangsaan MalaysiaSolar Energy Research Institute (SERI), Universiti Kebangsaan MalaysiaBattery Management Systems (BMS) is an electronic devices component, which is a vital fundamental device connected between the charger and the battery of the hybrid or electric vehicle (EV) systems. Thus, BMS significantly enable for safety protection and reliable battery management by performing of monitoring charge control, state evaluation, reporting the data and functionalities cell balancing. To date, 97.1% of Malaysian CO2 emissions are mainly caused by transportation activities and the numbers will keep rising as numbers of registered car increase close up to 1 million yearly; double the amounts in the last two decades. The uncertainty of a battery’s performance poses a challenge to predict the extended range of EVs, which need BMS implementation of optimization of optimum power management. Hence, using MATLAB/SIMULINK software is one of the potential methods of BMS optimization with power generated by Hybrid Energy Storage system of lithium-ion battery. Therefore, this paper address through reviewing previous literatures initially focuses on the BMS optimization for EVs (car) in Malaysia as prognostic technology model improvement on performance management of EVs.http://dx.doi.org/10.1051/matecconf/20179001001
collection DOAJ
language English
format Article
sources DOAJ
author Salehen P.M.W.
Su’ait M.S.
Razali H.
Sopian K.
spellingShingle Salehen P.M.W.
Su’ait M.S.
Razali H.
Sopian K.
Development of battery management systems (BMS) for electric vehicles (EVs) in Malaysia
MATEC Web of Conferences
author_facet Salehen P.M.W.
Su’ait M.S.
Razali H.
Sopian K.
author_sort Salehen P.M.W.
title Development of battery management systems (BMS) for electric vehicles (EVs) in Malaysia
title_short Development of battery management systems (BMS) for electric vehicles (EVs) in Malaysia
title_full Development of battery management systems (BMS) for electric vehicles (EVs) in Malaysia
title_fullStr Development of battery management systems (BMS) for electric vehicles (EVs) in Malaysia
title_full_unstemmed Development of battery management systems (BMS) for electric vehicles (EVs) in Malaysia
title_sort development of battery management systems (bms) for electric vehicles (evs) in malaysia
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2017-01-01
description Battery Management Systems (BMS) is an electronic devices component, which is a vital fundamental device connected between the charger and the battery of the hybrid or electric vehicle (EV) systems. Thus, BMS significantly enable for safety protection and reliable battery management by performing of monitoring charge control, state evaluation, reporting the data and functionalities cell balancing. To date, 97.1% of Malaysian CO2 emissions are mainly caused by transportation activities and the numbers will keep rising as numbers of registered car increase close up to 1 million yearly; double the amounts in the last two decades. The uncertainty of a battery’s performance poses a challenge to predict the extended range of EVs, which need BMS implementation of optimization of optimum power management. Hence, using MATLAB/SIMULINK software is one of the potential methods of BMS optimization with power generated by Hybrid Energy Storage system of lithium-ion battery. Therefore, this paper address through reviewing previous literatures initially focuses on the BMS optimization for EVs (car) in Malaysia as prognostic technology model improvement on performance management of EVs.
url http://dx.doi.org/10.1051/matecconf/20179001001
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