Abstract: Taking the hybrid power system of hybrid mining truck as the research object,the optimal energy management and real-time control strategy are studied.The energy management strategy based on deterministic rules has good real-time per formance,but it is difficult to achieve optimal fuel economy.The energy management strategy based on Dynamic Programming (DP) can achieve global optimization,but it is difficult to achieve real-time control.This paper integrates two energy manage ment strategies to establish an optimal energy management strategy and achieve real-time control.Firstly,the DP algorithm is used to obtain the global optimal energy management strategy for hybrid mining trucks.The optimal solution is integrated and optimal control rules are extracted.Then,an energy management strategy based on optimal control rules is designed to achieve online control,effectively solving the problem that rule strategies can only optimize "control parameters" and cannot optimize " control rules".The comprehensive implementation of the optimality and real-time performance of energy management strategies is completed.The energy management strategy was simulated and validated on the joint simulation platform of AMESim Simu link/Stateflow.The simulation results showed that the torque distribution curve,power battery SOC curve,fuel consumption curve based on the energy management strategy of optimal control rules and DP energy management strategy had a high degree of approximation,confirming the feasibility and effectiveness of the optimal energy management and real-time control strategy proposed in this paper.

Key words: hybrid mining trucks,fuel economy,energy management strategy,real-time control,global optimization