Abstract: Aiming at multi-axis electronically driven special hybrid vehicles, a coordinated distribution control strategy of driving forces was proposed based on drive-cycle adaptive recognition algorithm. Firstly, the C-WTVC and WUVSUB standard drive-cycles were divided into several kinematics fragments and the drive-cycles of vehicles were classified by clustering analysis. And the online recognition mechanism of vehicle drive-cycle was established based on simplified neural network algorithm. According to the drive-cycle recognition results, the pre-distribution control strategy of driving forces was developed, including average distribution, dynamic distribution and economy distribution, and the economy distribution coefficients were calculated based on the optimal system efficiency. Then, on the basis of pre-distribution control strategy of driving forces, the failure distribution control strategy of driving forces was proposed to ensure certainty driving ability at error modes according to the redundant configuration features of the vehicles. Finally, the coordinated distribution control strategy of driving forces was validated by simulation tests. The simulation results show that the proposed strategy may effectively guarantee the dynamic performance of vehicles under the states of power source failures and improve the reliability of the vehicles.

Key words: multi-axis special hybrid vehicle, coordinated distribution of driving force, drive-cycle adaptive recognition, simplified neural network

摘要： 针对多轴电子驱动桥式特种混合动力车辆，提出基于工况自适应识别算法的驱动力协调分配控制策略。基于C-WTVC以及WUVSUB车辆标准行驶循环工况划分运动学片段，利用聚类分析的方法对车辆行驶工况分类，并基于简化的神经网络算法建立车辆行驶工况在线识别机制；基于工况识别结果提出工况自适应驱动力预分配控制策略，包括平均分配、动力性分配及经济性分配，其中经济性分配系数基于系统效率最优进行解算；在驱动力预分配的基础上，基于多轴车辆动力源冗余配置的特点，提出驱动力失效分配控制策略，保障车辆在故障状态下仍具备一定的行驶能力；最后通过仿真测试验证了驱动力协调分配控制策略的有效性。仿真结果表明:所提策略能够有效保证车辆在动力源失效状态下的动力性能，提高了车辆运行可靠性。

关键词: 多轴特种混合动力车辆, 驱动力协调分配, 工况自适应识别, 简化神经网络