期刊
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
卷 42, 期 11, 页码 3506-3523出版社
WILEY-HINDAWI
DOI: 10.1002/er.4089
关键词
electric vehicle; energy storage; fuzzy logic control; genetic algorithm; optimization
资金
- Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES)
- National Council for Scientific and Technological Development (CNPq)
- State of Sao Paulo Research Foundation (FAPESP)
- Federal Technological University of Parana (UTFPR-PG)
- State University of Campinas (UNICAMP)
Two big issues involving electric vehicles are energy supply and power management control. To deal with the energy supply problem, this paper proposes the application of a hybrid energy source system, composed of battery pack and ultracapacitor bank. The power management control between the energy supplies was defined by a fuzzy logic with inference rules optimized through genetic algorithm. The genetic algorithm optimizes lower and upper limits of membership functions aiming to reduce the hybrid energy source system total mass while maximizing the electric vehicle drive range and performance. Through the Pareto frontier, we found the best trade-off solution.
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