Parameter Matching Optimization of Pure Electric Vehicle Based on Firefly Algorithm

doi:10.16182/j.issn1004731x.joss.17-0105

Abstract

Abstract: According to the design requirements and technical index of pure electric vehicle, the parameters of motor and battery related to power and economic performance are selected based on the computing results. Based on ADVISOR, a vehicle model of pure electric vehicle is established in MATLAB environment with the corresponding parameters validating the simulation results. On this basis, the multi-objective function is established, which includes the power performance, economic performance and cost price. This function is optimized by the firefly algorithm, which makes the dynamic parameters, the dynamic performance and economy performance of pure electric vehicle be improved significantly and the cost prices be declined. The practical performance of pure electric vehicle obtains the enhancement effectively.

Key words: electric vehicle, modeling and simulation, matching optimization, multi-objective function, firefly algorithm

CLC Number:

TP391

Li Yan, He Yigang. Parameter Matching Optimization of Pure Electric Vehicle Based on Firefly Algorithm[J]. Journal of System Simulation, 2019, 31(4): 795-801.

References

[1] 包建超, 陈丁跃, 乔晓亮. 基于ADVISOR仿真的纯电动汽车动力系统匹配研究[J]. 汽车实用技术, 2013, 38(8): 5-7.
Bao Jianchao, Chen Dingyue, Qiao Xiaoliang.Pure electric automobile power transmission parameter match and study based on advisor[J]. Automobile Appled Tecnology, 2013, 38(8): 5-7.
[2] 杨维健, 常志超. 基于ADVISOR 的纯电动汽车动力系统匹配[J]. 汽车实用技术, 2016, 41(7): 32-34.
Yang Weijian, Chang Zhichao.Pure electric automobile power transmission parameter match and study based on advisor[J]. Automobile Appled Tecnology, 2016, 41(7): 32-34.
[3] 刘新, 凌鹏. 基于Advisor 的纯电动汽车动力参数匹配[J]. 北京汽车, 2013, 36(3): 24-26.
Liu Xin, Ling Peng.Pure electric automobile power transmission parameter match based on advisor[J]. Beijing Automotive Engineering, 2013, 36(3): 24-26.
[4] 杨洋, 张文明. 基于ADVISOR软件的矿用电动轮自卸车仿真研究[J]. 系统仿真学报, 2009, 21(13): 4159-4162.
Yang Yang, Zhang Wenming.Simulation Study on Motor Wheel Mine Dumper Based on ADVISOR[J]. Journal of System Simulation, 2009, 21(13): 4159-4162.
[5] 张奇, 符晓玲, 李珂, 等. 纯电动汽车动力系统匹配优化与再生制动策略[J]. 系统仿真学报, 2016, 28(3): 600-609.
Zhang Qi, Fu Xiaoling, Li Ke, et al.Powertrain System Matching Optimization and Regenerative Braking Strategy for Pure Electric Vehicle[J]. Journal of System Simulation, 2016, 28(3): 600-609.
[6] 何志刚, 周成, 盘朝奉, 等. 基于粒子群算法纯电动汽车传动系统参数的优化[J]. 广西大学学报(自然科学版), 2015, 40(5): 1092-1101.
He Zhigang, Zhou Cheng, Pan Chaofeng, et al.The optimum of electric vehicle power train system based on Particle Swarm Optimization[J]. Journal of Guangxi University(Nat Sci Ed), 2015, 40(5): 1092-1101.
[7] 张驰, 邵东建, 张敏. 基于小客车侧滑微观仿真曲线路段行车风险分析[J]. 系统仿真学报, 2015, 27(7): 1609-1616, 1627.
Zhang Chi, Shao Dongjian, Zhang Min.Risk Analysis of Passenger Car Moving on Curved Sections Based on Sides lip Microscopic Simulation[J]. Journal of System Simulation, 2015, 27(7): 1609-1616, 1627.
[8] 黄欣, 陈凌珊, 程伟, 等. 基于多目标遗传算法的增程式电动汽车动力系统参数匹配优化研究[J]. 计算机测量与控制, 2015, 23(10): 3539-3542.
Huang Xin, Chen Lingshan, Chen Wei, et al.optimal Study on Extended-Range Electric Vehicle’s Powertrain Parameter Matching Based on Multi-objective Genetic Algorithm[J]. Computer Measurement & Control, 2015, 23(10): 3539-3542.
[9] Yang X S.Firefly Algorithms for Multimodal Optimization[J]. Mathematics (S2227-7390), 2009, 5792: 169-178.
[10] Zhang L P, Liang L I, Bingnan Q I, et al.Parameters optimum matching of pure electric vehicle dual-mode coupling drive system[J]. Science China Technological Sciences (S1674-7321), 2014, 57(11): 2265-2277.
[11] 曲玉琨, 张新征, 王章龙, 等. 火炮系统效能综合评价与指标无量纲化处理的研究[J]. 火炮发射与控制学报, 2007, 28(3): 1-4.
Qu Yukun, Zhang Xinzheng, Wang Zhanglong, et al.Study on Integrated Evaluation of Gun System Effectiveness and Treatment of Index Non-Dimension[J]. Journal of Gun Launch & Control, 2007, 28(3): 1-4
[12] 杨志翔, 史文浩, 张宁. 基于字典排序和解关联的多目标优化算法[J]. 小型微型计算机系统, 2016, 37(9): 2024-2028.
Yang Zhixiang, Shi Wenhao, Zhang Ning.Multi-objective Optimization Algorithm Based on Lexicographic Sorting and Solution Association[J]. Journal of Chinese Computer Systems, 2016, 37(9): 2024-2028.

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