为解决纯电动、氢燃料电池等新能源商用车续航里程焦虑及能量回收效率偏低的问题，本文结合车辆上下坡滑行特性与氢燃料电池电堆运行现状，提出一种基于预见性巡航（Predictive Cruise Control，PCC）的能量回收控制方法。该方法依托智能网联产品获取前方道路坡度、长度等信息，经高级驾驶辅助系统接口规范（Advanced Driver Assistance Systems Interface Specifications，ADASIS）v2 协议传输至整车控制器（Vehicle Control Unit，VCU），由 VCU 综合车辆运行状态调整进出坡速度，同步优化氢燃料电池电堆功率，充分利用惯性冲坡，降低能耗。漠河多陡坡路段试验验证表明，该方法可显著提升能量回收效率、降低整车能耗，为新能源商用车续航提升提供技术支撑。

To address the concerns about the range anxiety and low energy recovery efficiency of electric vehicles and hydrogen fuel cell-powered commercial vehicles, this paper, based on the downhill sliding characteristics of the vehicle and the current operating status of the hydrogen fuel cell stack, proposes an energy recovery control method based on Predictive Cruise Control (PCC). This method relies on intelligent connected products to obtain information such as the slope and length of the road ahead, and transmits it through the Advanced Driver Assistance Systems Interface Specifications (ADASIS) v2 protocol to the Vehicle Control Unit (VCU). The VCU then adjusts the speed entering and exiting the slope based on the vehicle's operating status and simultaneously optimizes the power of the hydrogen fuel cell stack, making full use of inertia to climb the slope and reduce energy consumption. The multi-steep slope section test in Mohe verified that this method can significantly improve energy recovery efficiency and reduce the vehicle's energy consumption, providing technical support for the improvement of the range of electric and hydrogen fuel cell-powered commercial vehicles.