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doi:10.16579/j.issn.1001.9669.2021.01.036

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更新时间：2022-09-22

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- Journal of Mechanical Strength Issue 1, Pages: 244-249(2021)
- 作者机构：
  
  上海海洋大学工程学院
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- DOI：10.16579/j.issn.1001.9669.2021.01.036
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[J]. Journal of Mechanical Strength (1):244-249(2021)
DOI：

[J]. Journal of Mechanical Strength (1):244-249(2021) DOI： 10.16579/j.issn.1001.9669.2021.01.036.

摘要

为了对电动物流车动力系统参数进行合理匹配,根据电动物流车的技术要求,对电动物流车的相关参数进行初步设计计算,并在模拟工况的基础上通过AVL-Cruise搭建整车仿真模型进行模拟仿真。基于纯电动物流车动力系统参数匹配的复杂性,需要对各项参数进行综合考虑,提出了一种多目标遗传算法的优化方式。该方式将车辆的动力性及经济性同时作为优化目标,将最高车速,加速时间等作为约束,建立传动系统优化模型并对其求其最优解。通过对优化后的参数进行仿真分析,表明该多目标遗传算法用于电动物流车动力系统优化的可行性及合理性,为电动物流车动力系统参数优化提供了一种新的途径。

Abstract

In order to reasonably match the parameters of the electric logistics vehicle power system,according to the technical requirements of the electric logistics vehicle,the preliminary design and calculation of the relevant parameters of the electric logistics vehicle are carried out,and the whole vehicle simulation model is built by AVL-Cruise on the basis of the simulation conditions.Based on the complexity of parameter matching of pure electric logistics vehicle power system,various parameters need to be considered comprehensively,and a multi-objective genetic algorithm optimization method is proposed.The optimization method takes the vehicle’s power and economy as the optimization goal at the same time,and takes the maximum vehicle speed and acceleration time as constraints,establishes the transmission system optimization model and finds its optimal solution.Through the simulation analysis of the optimized parameters,the feasibility and rationality of the multi-objective genetic algorithm for the optimization of the power system of the electric logistics vehicle is presented,which provides a new way for the optimization of the power system parameters of the electric logistics vehicle.

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纯电动物流车参数匹配仿真分析遗传算法多目标优化

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DOI：10.16579/j.issn.1001.9669.2021.01.036

摘要

Abstract

关键词

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references