| In recent years,due to the increasing pressure on energy and environmental protection,hybrid electric vehicles(HEV)have become one of the mainstream models of new energy vehicles.As a key component of the vehicle’s energy system,the power battery directly affects the power and reliability of the vehicle.Therefore,the research on online life management method of power battery has become one of the urgent problems to be solved in the development of hybrid electric vehicles,meeting the power requireme nts of the vehicle and extending the service life of vehicular batteries.Based on the actual project,this paper studies the online life management method of HEV power battery based on driving intention recognition.First,the related technologies of hybrid vehicle power system and battery management are introduced,and the battery life prediction methods and influencing factors are expounded.Second,the LVQ neural network recognition model is introduced.Based on the idea of the local optimization of identification samples,a similar driving intention classification probability model is proposed.A D-LVQ neural network model based on driving intention recognition is proposed.Third,based on the Markov model principle,the vehicle output power demand model under the driving intention recognition state is established,and the output current demand under driving intention is obtained.The equivalent battery attenuation model under different discharge equivalent magnifications is established,and a current power output control method considered battery life is proposed.Finally,a battery performance test bench is built based on LabVIEW to verify the feasibility of the power battery life attenuation test method and the output control strategy considering battery life protection.The research in this paper has important research significance and application value for prolonging the service life of power batteries in hybrid vehicles and reducing environmental pollution. |
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