The Research On Energy Management Strategy For Plug-in Hybrid Electric Vehicles Based On Battery Degradation

The Plug-in hybrid electric vehicle(PHEV)has become the major target for Automaker because of its balancing the dynamic performance of the ordinary diesel car,and combines the pure electric vehicle pollution.But how can play greatest role to dynamic characteristic of diesel locomotive while reducing fuel consumption and cell loss is the serious problem faced by PHEV development.Formulate reasonable energy management strategy can partly solve the bottleneck problem.At present,some Scientists and research institutions have carried on some research about PHEV,most of these studies focused on how to improve fuel economy without considering the impact of vehicle performance and costs.That control strategy not only not give full play to the performance of the battery,but also,to some extent,will speed up the deterioration of the battery,thus affecting the economy of the vehicle.In order to solve the above problems,with the support of project of National Scientific Fund(51405367),The Research on Energy Management Strategy for Plug-in Hybrid Electric Vehicles Based on Battery Degradation,this article mainly extends on NCR18650 monomer lithium-ion battery aimed at Plug-in hybrid electric vehicle energy management strategy has carried on the related research,the main work and views of the thesis are as follows:(1)Firstly,analysis NCR18650 lithium-ion battery internal electrochemical reaction and working principle,focuses on the external factors: temperature,discharge ratio and discharge SOC minimum,that affect battery degradation.And these theoretical can provide basis for subsequent experimental.(2)According to the battery working characteristics under the PHEV drive CD-CS mode,combined with the main factors influencing the lithium-ion battery recession,the author design and conduct CD-CS battery capacity decline experiment,analyze the experimental data,and build battery degradation mode based on the experiment data of the above three factors.(3)Formulated regular logic threshold energy management strategy based on CD-CS battery work mode rules threshold energy management strategy,that can distribute energy flowing reasonablely,avoid the fade of battery and improve fuel economy.(4)Using ADVISOR2002 and MATLAB,through the way of model-in-the-Loop,optimize the energy management strategy by multi-objective genetic algorithms.At the end of this paper,the author summarizes the main content of the study in this paper,at the same time pointed out the inadequacies and summarizes some of the views put forward in this paper.