分布式驱动电动车辆可以独立、精准地控制各车轮的驱动转矩来实现驱动防滑控制，但单一的驱动防滑策略难以满足多种复杂行驶工况要求，不能保证车辆驱动综合性能最优。因此，该研究提出一种响应快速、控制精准适应多种复杂工况的驱动防滑多模式控制策略。首先，针对不同工况下的性能要求，基于七自由度分布式驱动车辆模型设计了相应的驱动模式及模式切换策略。其次，基于Burckhardt轮胎模型6条标准路面的附着特性曲线，利用优化的线性插值算法，提出了路面识别融合算法计算最优滑转率，并以此作为控制目标设计了非线性整定的PID控制器实现动力分配控制及切换。最后，建立了CarSim整车模型和Matlab/Simulink驱动防滑控制模型，在低附着路面、对接路面、对开路面、低附着坡道和对开坡道上进行了联合仿真验证。仿真结果表明，路面识别策略能精确地辨识道路的附着系数，驱动防滑策略在不同工况下都能快速响应，并在不同模式之间准确切换，兼顾了动力性与稳定性，有效提高了驱动防滑性能。

Distributed drive electric vehicles can independently and accurately control the driving torque of each wheel to achieve acceleration slip regulation control. However, a single traction control strategy often fails to meet the requirements of diverse and complex driving conditions and cannot ensure optimal overall driving performance. To address this limitation, this study proposed a multi-mode traction control strategy that is responsive, precise, and adaptable to various complex driving scenarios. Firstly, to meet performance requirements under varying driving conditions, a set of driving modes and mode-switching strategies was developed based on a seven-degree-of-freedom distributed drive vehicle model. Secondly, using the adhesion characteristic curves of six standard road surfaces derived from the Burckhardt tire model, an optimized linear interpolation algorithm was applied to propose a road surface recognition fusion algorithm. This algorithm computes the optimal slip ratio, which serves as the control target for a nonlinearly tuned PID controller designed to manage power distribution and mode switching. Finally, a CarSim vehicle model and an acceleration slip regulation control model in Matlab/Simulink were established and co-simulation verification was conducted on low adhesion road, joint road, bisectional road, low adhesion slope, and bisectional slope. Simulation results show that the road surface recognition strategy can accurately identify the adhesion coefficient of the road, the acceleration slip regulation control strategy can quickly respond and accurately switch between different modes under different working conditions, balancing dynamics performance and stability performance, and effectively improve acceleration slip regulation performance.