摘要
针对并联混合动力汽车(PHEV),提出一种模糊多目标整车控制策略。通过应用电动机等效燃油消耗的概念,将整车燃油消耗与尾气排放同时作为优化目标。应用模糊逻辑和最小加权偏差法,并根据当前工况对优化目标的偏好情况,求得瞬时最优工作点。基于ADVISOR仿真平台的研究表明,模糊多目标控制策略(FMCS)相对基于规则的控制策略(RBCS)能够在不损失车辆动力性能的前提下有效降低燃油消耗和尾气排放,同时将电池荷电状态(SOC)维持在合理范围内。
A fuzzy multi-objective control strategy is proposed for parallel hybrid electric vehicles （PHEV）.By the concept of motor equivalent fuel consumption, the overall vehicle fuel economy and the corresponding emissions can be treated as the optimization objectives. Then a minimum average weighted deviation method is designed to find the Pareto optimal solution with considering the variations of objective preference in different district. The simulation on ADVISOR reveals that, compared with the rule based control strategy （RBCS）, with the premise that there is no loss to power performance, the proposed fuzzy multi-objective control strategy （FMCS） not only improves fuel economy and emission level but also maintains battery SOC within its operation range more effectively.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第2期75-84,共10页
Journal of Chongqing University
基金
国家863计划资助项目(2003AA501350)
关键词
混合动力汽车
控制策略
模糊逻辑
多目标最优化
hybrid electric vehicles
control strategy
fuzzy logic
multi-objective optimization
