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Rule-Based Energy Management Strategy Optimized Using PSO for Fuel Cell/Battery Electric Vehicle
Ecole Militaire Polytechnique, UER ELT, 16111 Algiers, Algeria.ORCID iD: 0000-0003-2768-2366
2015 (English)In: International Journal on Energy Conversion (IRECON), ISSN 2281-5295, Vol. 3, no 1Article in journal (Refereed) Published
Abstract [en]

Compared with battery-based electric vehicles, multiple energy sources electric vehicles are one of the most promising technologies for urban transportation. Except that dynamic behavior, specific energy and specific power of each source makes their power control hard. Good energy management for such systems is required to have an optimal power distribution between different sources and load. In this paper, electric vehicle with Proton Exchange Membrane Fuel Cell (PEMFC) as a main source connected to the DC bus via a boost DC-DC converter and Nickel/Cadmium battery as an auxiliary source connected to the DC bus via a buck-boost DC-DC converter. In the high control level, on line Rule-based vehicle energy management strategy (VEMS) is applied and compared with an optimized one; the optimization was done with Particle Swarm Optimization (PSO) to get minimal fuel consumption with good control of battery state of charge (SOC). MATLAB/Simulink is used to evaluate the proposed strategy

Place, publisher, year, edition, pages
USA, 2015. Vol. 3, no 1
Keywords [en]
Multiple DC-DC Converters; Vehicle Energy Management Strategy; Particle Swarm Optimization
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-312644OAI: oai:DiVA.org:kth-312644DiVA, id: diva2:1659481
Note

QC 20220601

Available from: 2022-05-19 Created: 2022-05-19 Last updated: 2024-03-15Bibliographically approved

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Habib, Mustapha

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Citation style
  • apa
  • ieee
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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