随着新能源技术的发展,纯电皮卡凭借独特的动力特性在越野领域展现出巨大潜力,但复杂多变的路面附着条件制约其纵向力的精准控制。文章系统梳理纯电皮卡越野纵向力控制关键技术,通过分析动力系统构型,提出分层协同控制架构整合执行器。聚焦模糊逻辑控制、滑模变结构控制、模型预测控制等智能算法,阐述其应对系统非线性、实现多目标优化的优势。仿真与实车验证表明,智能算法在低附着路面起步等场景中,相比传统方法可显著提升纵向力控制精度与系统鲁棒性,为高性能纯电越野控制技术开发提供参考。

With the development of new energy technology, pure electric pickup trucks have shown great potential in the off-road field due to their unique power characteristics. However, the complex and changeable road adhesion conditions restrict the precise control of their longitudinal force. This paper systematically reviews the key technologies of longitudinal force control for off-road pure electric pickup trucks. By analyzing the configuration of the power system, a hierarchical collaborative control architecture and integrated actuator are proposed. Focusing on intelligent algorithms such as fuzzy logic control, sliding mode variable structure control, and model predictive control, this paper expounds their advantages in dealing with system nonlinearity and achieving multi-objective optimization. Simulation and real vehicle verification show that the intelligent algorithm can significantly improve the longitudinal force control accuracy and system robustness in scenarios such as starting on low-adhesion roads compared with traditional methods, providing a reference for the development of high-performance pure electric off-road control technology.