Matching Model of Pure Electric Vehicle Dynamic Parameters based on Genetic Algorithm
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Abstract
With the increasing proportion of pure electric vehicles in the automobile market, the problem of low cost performance has gradually emerged. In order to solve the problem of low cost performance of pure electric vehicles, a dynamic parameter matching model based on genetic algorithm (GA) is proposed. Using Matlab simulation, the performance comparison experiment was carried out with the transmission speed ratio optimized by GA, by weighting method with non-optimized. The results show that the energy consumption under the condition of the transmission speed ratio optimized by the GA is 1.972 kWh, which is better than the energy consumption optimized by the weighted method and the energy consumption before optimization. The proposed model has shown that the consumption was decreased by 2.6% when compared with the non-optimised model.
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