基于非线性规划遗传算法的混合动力拖拉机控制策略

doi:10.3969/j.issn.1671-7775.2023.02.006

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摘要针对串联式混合动力拖拉机的特点，建立了整车动力学模型，设计了恒温器式控制策略、恒温器式+制动能量回收控制策略.为进一步提高串联式混合动力拖拉机的整车燃油经济性，采用非线性规划遗传算法（NLPGA）优化恒温器式控制策略关键参数.通过AVL-Cruise与Matlab/Simulink联合仿真，结果表明：3种策略均可有效地维持电池荷电状态在指定范围内.在犁耕工况下，基于NLPGA优化的能量管理策略的燃油消耗率比恒温器式降低了29.25%，比恒温器+制动能量回收式降低了9.35%；累计燃油消耗量分别比两者降低了31.50%和1.74%；电池荷电状态SOC比两者分别提高8%和6%.

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关键词 ：拖拉机, 非线性规划遗传算法, 恒温器式, 制动能量回收, 控制策略

Abstract：According to the characteristics of series hybrid tractors, a dynamics model of the vehicles was established, and the control strategy was designed with the thermostat type control strategy or the thermostat type + brake energy recovery control strategy. To further improve the fuel economy of series hybrid tractors, the key parameters of the thermostat type control strategy were optimized by nonlinear program genetic algorithm（NLPGA）. Through the co-simulation of AVL-Cruise and Matlab/Simulink, the results show that the three strategies can effectively maintain the battery SOC within the specified range. Under the plowing + transportation conditions, the fuel consumption of the thermostat + brake energy recovery control strategy based on NLPGA is 29.25% lower than that of the thermostat type, and it is 9.35% lower than that of the thermostat + brake energy recovery control strategy. The cumulative fuel consumption is reduced by 31.50% and 1.74%, respectively.The battery SOC is increased by 8% and 6%, respectively.

Key words： tractor nonlinear program genetic algorithm thermostat type brake energy recovery control strategy

收稿日期: 2021-07-28

基金资助:国家重点研发计划项目（2017YFD070020402）

作者简介: 李妍颖(1997—)，女，河南洛阳人，硕士研究生(lyy_1997@outlook.com)，主要从事车辆新型传动理论与控制技术的研究. 徐立友(1974—)，男，河南息县人，教授，博士生导师(通信作者，xlyou@haust.edu.cn)，主要从事车辆新型传动理论与控制技术的研究.

引用本文:

李妍颖1，刘孟楠1,2，徐立友1，雷生辉1. 基于非线性规划遗传算法的混合动力拖拉机控制策略[J]. 江苏大学学报（自然科学版）, 2023, 44(2): 166-172. LI Yanying1， LIU Mengnan1,2， XU Liyou1， LEI Shenghui1. Control strategy of series hybrid tractor based on nonlinear program genetic algorithm[J]. Journal of Jiangsu University(Natural Science Eidtion) , 2023, 44(2): 166-172.

链接本文:

http://zzs.ujs.edu.cn/xbzkb/CN/10.3969/j.issn.1671-7775.2023.02.006 或 http://zzs.ujs.edu.cn/xbzkb/CN/Y2023/V44/I2/166

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