Matching Model of Pure Electric Vehicle Dynamic Parameters based on Genetic Algorithm

Q3 Engineering

International Journal of Vehicle Structures and Systems Pub Date : 2023-07-12 DOI:10.4273/ijvss.15.2.23

P. Zhang, J.J. Sun, Z. Guan

引用次数: 0

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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基于遗传算法的纯电动汽车动态参数匹配模型

随着纯电动汽车在汽车市场中所占比例的不断提高，性价比低的问题也逐渐显现出来。为了解决纯电动汽车性价比低的问题，提出了一种基于遗传算法的动态参数匹配模型。利用Matlab仿真，与遗传算法优化后的传动比、加权法与非优化后的传动比进行性能对比实验。结果表明，遗传算法优化的传动速比工况下的能耗为1.972 kWh，优于加权法优化后的能耗和优化前的能耗。所提出的模型表明，与非优化模型相比，消耗减少了2.6%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Vehicle Structures and Systems Engineering-Mechanical Engineering

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： The International Journal of Vehicle Structures and Systems (IJVSS) is a quarterly journal and is published by MechAero Foundation for Technical Research and Education Excellence (MAFTREE), based in Chennai, India. MAFTREE is engaged in promoting the advancement of technical research and education in the field of mechanical, aerospace, automotive and its related branches of engineering, science, and technology. IJVSS disseminates high quality original research and review papers, case studies, technical notes and book reviews. All published papers in this journal will have undergone rigorous peer review. IJVSS was founded in 2009. IJVSS is available in Print (ISSN 0975-3060) and Online (ISSN 0975-3540) versions. The prime focus of the IJVSS is given to the subjects of modelling, analysis, design, simulation, optimization and testing of structures and systems of the following: 1. Automotive vehicle including scooter, auto, car, motor sport and racing vehicles, 2. Truck, trailer and heavy vehicles for road transport, 3. Rail, bus, tram, emerging transit and hybrid vehicle, 4. Terrain vehicle, armoured vehicle, construction vehicle and Unmanned Ground Vehicle, 5. Aircraft, launch vehicle, missile, airship, spacecraft, space exploration vehicle, 6. Unmanned Aerial Vehicle, Micro Aerial Vehicle, 7. Marine vehicle, ship and yachts and under water vehicles.