Energy management strategy for fuel cell vehicle based on working condition identification

Hits:

DOI number:10.1109/ICPSAsia58343.2023.10294382

Journal:2023 IEEE IAS Industrial and Commercial Power System Asia (IEEE I&CPS Asia 2023)

Key Words:Fuel cell vehicle；Energy management strategy；Working condition identification；Particle swarm algorithm；Fuzzy contorller

Abstract:A rational formulation of energy management strategy can regulate the power distribution among various energy sources, prolong the service life of vehicle power system and improve the fuel economy of the whole vehicle. In this paper, the energy management strategy is studied by combining the working condition recognition algorithm and the fuzzy controller optimized based on the particle swarm algorithm. The results show that compared with the three energy management strategies without condition identification, the equivalent energy consumption of the vehicle is reduced by 6.2%, 4.8% and 4.9%, respectively, and the change of power battery charge state (SOC) is relatively smooth and kept in a reasonable range., which effectively extends the battery life.

Co-author:Haoran Ma,Tao Wang,Muyao Wu

First Author:Xiaowen Zhang

Indexed by:Essay collection

Correspondence Author:Li Wang

Discipline:Engineering

Document Type:C

Translation or Not:no

Date of Publication:2023-07-07

Included Journals:EI