Parameter Matching Strategy of Electric Vehicle Based on Genetic Algorithm
Yu, R.
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How to Cite

Yu R., 2015, Parameter Matching Strategy of Electric Vehicle Based on Genetic Algorithm, Chemical Engineering Transactions, 46, 163-168.
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Abstract

Storage battery’s thin energy density has directly restricted the industrial development of electric vehicles, the pivotal parameters have been matching based on the theoretical analysis of circulating operation, and combined with genetic algorithm’s superior ability, the peak power of motor and ratio of transmission have been optimized with the consideration of dynamic restriction. The results show that the optimized parameter can lead the automobile’ driving mileage to increase 18.78% on the basic dynamic requirement of national standard.
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