Hierarchical Control Strategy of Predictive Energy Management for Hybrid Commercial Vehicle Based on ADAS Map

• DOI: 10.4271/2023-01-0543
• Publication Date: 2023-04-12T15:59:05Z
• Authors: Xiaozhi Li; Yuhai Wang; Xingkun Li
• Keywords: Model Predictive Control

<div class="section abstract"><div class="htmlview paragraph">Considering the change of vehicle future power demand in process energy distribution can improve fuel saving effect hybrid system. However, current studies are mostly based on historical information to predict demand, where it is difficult guarantee accuracy prediction. To tackle this problem, paper combines management with predictive cruise control, proposing a hierarchical control strategy (PEM) that includes two layers algorithms for speed planning and distribution. In interest decreasing consumed by components ensuring transportation timeliness, upper-level introduces algorithm while considering weight road slope, during long-distance driving. The lower-level calculates results planning, dynamic programming method utilized determine global optimal rules driving condition goal engine consumption. comparison simulation test indicates under various high-speed cruising conditions little range has significant improvement compared rule-based strategy.</div></div>