Research And Actualization Of Automobile Electric Energy Management System Based On Online Driving Cycle Recognition

Although hybrid electric vehicles and battery electric vehicles have been rapidly developed,internal combustion engine vehicles are still in the mainstream of the vehicle market because of technology and cost.With the increasing number of electronic control units and electrical loads used in vehicl es,the proportion of electrical energy consumption in vehicle energy consumption is significantly increasing,electrical energy management has become an important approach to attain a better fuel economy for vehicles.Therefore,formulating a real–time and efficient dynamic strategy for electrical energy management has become a critical factor in reducing energy consumption and acquiring better fuel economy.In this paper,relied on the Anhui nature fund and enterprise cooperation projects,a automobile electric energy management system based on online driving cycle recognition is researched.Firstly,the existing vehicle power system and electrical energy management technology has been introduced,and the relevant vehicle bus technology is analyzed.Secondly,a driving cycle recognition model based on I-LVQ neural network is built.The concept of "similar driving cycle" is proposed and a classification probability model is introduced,so that the I-LVQ model training algorithm is designed.Thirdly,a vehicle electrical energy management strategy based on online driving cycle recognition is proposed.The recognition mechanism based on moving time window is established,and the electrical energy management algorithm under specific driving cycle is presented based on the optimal allocation of electrical load power.Then,a bus electrical energy management system is constructed,the corresponding energy management controller is designed and realized.Finally,the communication verification experiment is carried out in CANoe software and the vehicle test is carried out on the established vehicle test bench,which verifiy the feasibility of the node communication and the effectiveness of the electrical energy management strategy.The study in this paper has important research significance and application value for reducing the vehicle energy consumption,prolonging the battery service life and improving the vehicle fuel economy.