基于Isight的增程式电动汽车定点控制策略优化
Optimization of fixed point control strategy for incremental electric vehicle based on Isight
钟勇 1邱煌乐 1李方舟 1王镛 1范周慧1
作者信息
- 1. 福建省汽车与电子电驱动重点实验室(福建工程学院),福建 福州 350118
- 折叠
摘要
基于专家经验和工程经验制定的传统规则能量管理策略并不能适应当前增程式汽车复杂的行驶工况,为了更加精确地控制增程式汽车,使其获得更好的燃油经济性,考虑到增程器中发动机定点控制策略的发动机工作点切换规则影响,采用Cruise建立整车模型、Isight对其参数进行优化的方式探究发动机工作点切换规则对油耗的影响,比较其百公里油耗.研究结果表明,优化后NEDC工况、WLTC工况、混合工况的百公里燃油消耗量分别降低了3.51%、7.3%、8.5%,为增程式汽车定点控制策略优化提供了一种新方法,并验证了其可行性.
Abstract
The traditional rule energy management strategy developed based on expert experience and engineering experience can not adapt to the complex driving conditions of the current extended-range vehicle.In order to more accurately control the range extender vehicle and achieve better fuel economy,considering the influence of the engine operating point switching rule in the engine fixed-point control strategy of the range extender,Cruise was used to establish a vehicle model.Isight explore the impact of engine working point switching rules on vehicle fuel consumption by optimizing its parameters,and compare its fuel consumption of 100 km.The research results showed that after optimization,the fuel consumption of 100 km under NEDC condition was reduced by 3.51%;The fuel consumption per 100 km under WLTC condition was reduced by 7.3%;The fuel consumption per 100 km under mixed conditions was reduced by 8.5%.This study provides a new method for the optimization of the fixed-point control strategy of the incremental vehicle and verifies its feasibility.
关键词
燃油经济性/Isight/Cruise/定点控制/多岛遗传算法Key words
fuel economy/Isight/Cruise/fixed point control/multi-island genetic algorithm引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据