Energy Control Strategy of Fuel Cell Hybrid Electric Vehicle Based on Working Conditions Identification by Least Square Support Vector Machine
Yongliang Zheng,
Feng He,
Xinze Shen and
Xuesheng Jiang
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Yongliang Zheng: Department of Automotive Engineering, School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
Feng He: Department of Automotive Engineering, School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
Xinze Shen: Department of Automotive Engineering, School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
Xuesheng Jiang: Guizhou Changjiang Automobile Co., Ltd., Guiyang 550025, China
Energies, 2020, vol. 13, issue 2, 1-18
Abstract:
Aimed at the limitation of traditional fuzzy control strategy in distributing power and improving the economy of a fuel cell hybrid electric vehicle (FCHEV), an energy management strategy combined with working conditions identification is proposed. Feature parameters extraction and sample divisions were carried out for typical working conditions, and working conditions were identified by the least square support vector machine (LSSVM) optimized by grid search and cross validation (CV). The corresponding fuzzy control strategies were formulated under different typical working conditions, in addition, the fuzzy control strategy was optimized with total equivalent energy consumption as the goal by particle swarm optimization (PSO). The adaptive switching of fuzzy control strategies under different working conditions were realized through the identification of driving conditions. Results showed that the fuzzy control strategy with the function of driving conditions identification had a more efficient power distribution and better economy.
Keywords: fuel cell hybrid electric vehicle; least squares support vector machines (LSSVM); driving conditions identification; power distribution (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (6)
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