摘要
针对某款并联式混合动力汽车,为权衡燃油经济性和电池温升效应,制定了多目标优化的能量管理策略。建立了车辆动力学模型和电池温升模型;选定多组动力部件的控制参数和电池相关参数,基于Pareto最优解进行了多目标参数优化;针对大倍率电流下的温度累积效应,提出了基于温升反馈的电机转矩上限控制策略,以主动控制电流幅值,进而实现电池温度控制。结果表明:多目标优化得到的Pareto前沿很好地权衡了燃油经济性和电池温升响应,电机转矩门限值调节策略有效地限制了高速工况下的电流幅值,达到了对电池热累积的限制。
In this paper,a multi-objective optimization energy management strategy for a parallel hybrid electric vehicle is established to balance fuel economy and battery temperature rise effect.A vehicle dynamics model and a battery temperature rise model are also established.A multi-objective parameter optimization based on Pareto optimal solutions is built by selecting the control parameters of power components and several battery related parameters.Considering the temperature accumulation effect under high rate currents,the upper limit control strategy of a motor torque based on temperature rise feedback is developed,so that the current amplitude is actively controlled to realize battery temperature control.The analysis results indicate that frontier Pareto solutions obtained by multi-objective optimization have a good balance between both fuel economy and battery temperature rise response.The motor torque threshold control strategy effectively adjusts current amplitude under high speed conditions,thus achieving the limit of battery heat accumulation.
作者
吴生宇
邓涛
WU Shengyu;DENG Tao(School of Mechatronics and Vehicle Engineering,Chongqing Jiaotong University,Chongqing 400074,China;School of Aeronautics,Chongqing Jiaotong University,Chongqing 400074,China;Chongqing Key Laboratory of Green Aviation Energy and Power,Chongqing 401120,China;The Green Aerotechnics Research Institute,Chongqing Jiaotong University,Chongqing 401120,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2023年第2期60-67,共8页
Journal of Chongqing University of Technology：Natural Science
基金
国家自然科学基金项目(52275051)
重庆市教育委员会科学技术研究重点项目(KJZD-K202000701)
绿色航空能源动力重庆市重点实验室开放基金重点项目(GATRI2021F01001A)
重庆市技术创新与应用发展专项重点项目(cstc2019jscx-fxydX0028)。
关键词
混合动力汽车
能量管理策略
电池温度控制
多目标优化
PARETO最优解
hybrid electric vehicle
energy management strategy
battery temperature control
multi-objective optimization
Pareto optimal solutions
