摘要
本文中针对一款轻型混合动力汽车进行了再生制动控制策略的研究。首先,以整体效率最高为目标,提出了最大能量回收制动控制策略,并采用序列二次规划法对充电功率进行优化,获得ISG电机优化转矩。接着建立了整车仿真模型,采用模糊控制方法对优化的ISG电机转矩进行跟随控制。分别进行了NEDC循环和3种不同制动力的仿真,得到不同工况下的再生制动能量回收率。最后进行了与仿真工况相应的实车试验,验证了控制策略的有效性。
The regenerative braking control strategy for a light hybrid electric vehicle (LHEV) is studied in this paper. Specifically, a braking control strategy for maximum energy recovery is proposed first with an objective of highest overall efficiency, and the charging powers are optimized by using sequential quadratic programming tech- nique to obtain optimized torque working points of ISG motor. Then a simulation model for LHEV is built, a tracking control is performed over optimized torque of ISG motor with fuzzy control scheme, and a simulation is conducted on three different braking forces respectively with NEDC cycle to obtain energy recovery ratios in regenerative braking. Finally a real vehicle test corresponding to simulation conditions is carried out to verify the effectiveness of control strategy proposed.
出处
《汽车工程》
EI
CSCD
北大核心
2013年第2期105-110,132,共7页
Automotive Engineering
基金
国家高技术研究发展计划(863计划)项目(2008AA11A139)资助
关键词
电动汽车
再生制动
模糊控制策略
electric vehicles
regenerative braking
fuzzy control strategy