Research on optimisation of regenerative braking strategy for pure electric mining dump truck based on MPC

With the development of environmental protection concepts, the proportion of battery electric mining trucks is gradually increasing. However, the problems of charging mileage and battery life degradation limit the application. Meanwhile, production efficiency is also reduced due to slower charging and battery replacement speeds. The paper mainly focuses on the problem of decreased battery life and the shorter driving range of a 50-ton pure electric mining dump truck, considering the influence of the shifting strategy. A model predictive control (MPC) algorithm is proposed, which verifies that the MPC strategy can reduce energy consumption and improve battery lifetime by comparing the original rule-based control algorithm. The simulation results show that the proposed MPC strategy can reduce energy consumption by 16.92% and reduce battery life loss by 18.21% in the typical cyclic working conditions of mining roads.