Abstract: Taking the hybrid electric mining truck as the research object,the energy management strategy based on Dynamic Programming (DP) is established to study its fuel economy,maximize its fuel saving potential and obtain the change law of energy storage and discharge of the hybrid power system. According to the operation characteristics of the hybrid electric mining truck,the driving conditions and the structural scheme of the hybrid power system are constructed,and the backward simulation model is established. On this basis,the optimal control mathematical model with the engine fuel consumption as the optimization goal is established and solved by using DP algorithm. From the obtained simulation results,the hybrid mining truck engine can work more in the fuel economy zone than that of the prototype vehicle,and the fuel consumption is 18. 3% lower than that of the prototype vehicle. At the same time,the variation law of State of Charge (SOC) and current of the power battery in the process of energy storage and discharge is obtained. The results show that the proposed hybrid power scheme is feasible,the energy management strategy based on DP is effective to improve fuel economy,and the mining truck has greater energy recovery potential. This study provides a theoretical basis and reference for the subsequent development of energy management strategies for hybrid electric mining trucks.

Key words: hybrid electric mining truck,dynamic programming,energy management strategy, fuel economy, fuel consumption