摘要
为了提升增程式电动汽车的燃油经济性并使其能够适应更加复杂的行驶工况，在保证汽车动力性的前提下，以控制电池SOC在工作范围内和等效百公里燃油消耗量较小为目标，以某增程式电动汽车为参考对象进行动力参数匹配，分别建立功率跟随控制策略模型、模糊功率跟随控制策略模型和加速度模糊功率跟随控制策略模型。在AVL_Cruise软件上完成整车模型的搭建并验证其动力性，运用Matlab/Simulink软件搭建控制策略模型，在WLTC和CLTC工况下进行联合仿真分析。试验表明：在满足动力性要求的基础上，功率跟随控制策略在WLTC和CLTC工况下的等效百公里燃油消耗量较其他两种控制策略较低，但是对CLTC较复杂的工况适应性差，具体表现在电池SOC的范围低于给定的电池工作范围，影响电池寿命；模糊功率跟随控制策略引入电池SOC状态，有效地改进了功率跟随对复杂工况适应性差的缺陷，但存在等效百公里燃油消耗量较大问题，且自身对复杂工况的适应性依旧存在缺陷；加速度模糊功率跟随控制策略综合考虑前二者控制策略的优劣性，引入加速度这一影响因素，解决了前二者对复杂工况适应性差的缺陷，与模糊功率跟随控制策略相比燃油经济性得到了提升。
Abstract
In order to improve the fuel economy and adapt to more complex driving conditions of range-extended electric vehicles(EVs), a conventional power following control strategy model, a fuzzy power following control strategy model and an acceleration fuzzy control power following control model were developed to control the battery SOC within the operating range and acquire the appropriate equivalent 100 km fuel consumption with the premise of ensuring the dynamics of the EVs. The vehicle model was built and its dynamics was verified with AVL_Cruise software, and the control strategy model was simulated and analyzed under WLTC and CLTC conditions using Matlab/Simulink software. The experiments show that the equivalent 100 km fuel consumption of traditional power following control strategy is lower than the other two control strategies under WLTC and CLTC conditions with the premise of meeting the dynamics requirements, but it is poorly adapted to the more complex conditions of CLTC, incorporating that the range of battery SOC is lower than the manufacturer-given range so as to affect the life of battery. The fuzzy power following control strategy introduces the battery SOC state to effectively improve the defects of poor adaptability to complex working conditions from the traditional power following, but there is a high equivalent 100 km fuel consumption and its own adaptability to complex working conditions still has defects. Considering the advantages and disadvantages of the first two control strategies, the factor of acceleration is introduced and the acceleration fuzzy control power following strategy is put forward, which solves the defects of the first two poor adaptability to complex working conditions and improves the fuel economy compared with the fuzzy power following control strategy.
关键词
增程式电动汽车 /
燃油经济性 /
能量管理 /
模糊控制
Key words
range-extended electric vehicle /
fuel economy /
energy management /
fuzzy control
钟勇，邱煌乐，李方舟，范周慧，易思敏.
基于模糊控制的增程式电动汽车能量管理控制研究[J]. 车用发动机. 2024, 0(2): 68 https://doi.org/10.3969/j.issn.1001-2222.2024.02.010
ZHONG Yong,QIU Huangle,LI Fangzhou,FAN Zhouhui,YI Simin.
Energy Management Control of Range-Extended Electric Vehicle Based on Fuzzy Control[J]. Vehicle Engine. 2024, 0(2): 68 https://doi.org/10.3969/j.issn.1001-2222.2024.02.010
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