Multi-objective optimisation of electro-hydraulic braking system based on MOEA/D algorithm

The electro-hydraulic composite braking system of the electric vehicle can effectively collect the wasted energy by the regenerative braking to improve the endurance mileage. In this study, according to the characteristic of the electro-hydraulic composite braking system, the energy flow processes are analysed, which includes the energy recovery generated by motor regenerative braking and energy consumption of the hydraulic braking system, such as hydraulic pump, brake line and brake valve. Based on this, the brake sense, energy recovery and loss are proposed as the evaluation index, and their quantitative formula are derived. Taking the brake sense and energy as the optimisation objectives, and ECE<?show [AQ ID=Q1]?> regulations as the constraints, the parameters of electro-hydraulic composite braking system are optimised-based on a multi-objective evolutionary algorithm based on decomposition (MOEA/D). The simulation results show that the electro-hydraulic composite braking system optimised by the MOEA/D algorithm can decrease the energy loss and make the driver obtain a better brake sense, which improves the comprehensive performance of the system. The research of this study can provide a certain basis for the design and optimisation of electro-hydraulic composite braking system.