Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/394177
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dc.contributor.authorNor Aziah Mohd Azubir-
dc.contributor.authorMohd Khair Hassan-
dc.contributor.authorHairi Zarnzuri-
dc.contributor.authorSaiful Amri Mazlan-
dc.date.accessioned2023-06-15T07:43:36Z-
dc.date.available2023-06-15T07:43:36Z-
dc.identifier.otherukmvital:100420-
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/394177-
dc.description.abstractThere are many types of Electric Vehicle (EV) applied in automotive industry. It can be hybridization or electrification vehicle. Battery Electric Vehicle (BEV) also called as fully electric vehicle using batteries as the only source and an electric motor as a traction motor to move the vehicle. In a world view of BEV, it is still having circumstances that would strand the BEY to have huge commercialization due to range anxiety. This paper is discussing about an electrification vehicle power and energy management (PEM) strategy. PEM strategy has two-layer control strategies that consist of low level component control and high level supervisory control. Management and control strategy in BEV is carefully designed due to heavy loads consumption from Propulsion Electrical Load (PEL) and Non Propulsion Electrical Loads (NoPEL) with a single energy source. This is to ensure that power and energy is managed at optimum level that will give some extension of wider kilometer of the vehicle. The BEV performance is typically controlled by high level supervisory control algorithm using event-based condition using state machine deterministic rule-based method. More than one drive mode to be determined in this paper as part of control strategy to get an optimal PEM performance.-
dc.language.isoeng-
dc.publisherSwitzerland : Trans Tech Publications Ltd., 2014.,Switzerland-
dc.subjectBattery Electric Vehicle (BEV)-
dc.subjectbattery electric vehicle-
dc.titleDevelopment of proton electric vehicle control unit (eVCU) using state machine deterministic rule-based approach-
dc.typeSeminar Papers-
dc.format.pages532-538 p.-
dc.identifier.callnoTD195.T7.I546 2014 kat sem-
dc.contributor.conferencenameInternational Conference on Recent Advances in Automotive Engineering and Mobility Research-
dc.coverage.conferencelocationKuala Lumpur-
dc.date.conferencedate16/12/2013-
Appears in Collections:Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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