Multi-Objective Optimization Distribution Control Design of Hydraulic Braking Force for New Energy Vehicles Based on LDQPSO

In the braking process of new energy vehicles (NEVs), it is crucial to allocate braking force efficiently in order to ensure stable vehicle deceleration under various driving conditions. This helps avoid dangerous situations such as wheel lockup, side skidding, and loss of control, while significantly improving vehicle braking safety. To achieve optimal braking force distribution, a hydraulic braking force allocation control system for NEVs is proposed. The system collects real-time data from onboard hardware sensors, which are then used to calculate the front axle braking force distribution coefficient and the electro-hydraulic braking force distribution ratio. A particle swarm optimization algorithm is applied to perform multi-objective optimization, ensuring that the hydraulic braking force is allocated in a manner that maximizes braking stability and minimizes the risk of dangerous braking scenarios. The system also coordinates the hydraulic braking with motor regenerative braking, improving both braking efficiency and energy recovery. Simulation results and practical experiments demonstrate that the proposed system not only enhances vehicle stability and safety but also contributes to energy efficiency by optimizing the interaction between hydraulic and regenerative braking systems. This comprehensive control approach is essential for improving the overall performance and safety of NEVs in real-world driving conditions.