基于粒子群优化- 蚁群融合算法的分布式电驱动车辆模型预测转矩协调控制策略

For the dynamic control challenges caused by the coupling effect of multiple power sources and high nonlinearity in distributed electric drive vehicle, a model predictive torque coordination control strategy based on particle swarm optimization and ant colony optimization is proposed, which uses a 7-degree-of-freedom vehicle dynamics model as the prediction model. The simulation and actual vehicle test platforms were built, and the multiple operating conditions were test. The test results show that the proposed torque coordination control strategy can be used to adjust the control mode according to the experimental conditions, thus achieving a comprehensive optimal control effect of power, economy, and handling stability.