机械与电子2025，Vol.43Issue(4)：3-11,9.
基于能耗优化的无人车路径规划算法
Path Planning Algorithm for Unmanned Vehicles Based on Energy Consumption Optimization
摘要
Abstract
To improve the energy efficiency of unmanned vehicles,implementing a minimum energy consumption strategy has become a crucial goal in practical applications.First,a physical energy consump-tion model based on road characteristics is established.On this basis,a greedy algorithm is employed to cal-culate the minimum energy consumption path between any two points on the map,converting paths that are either impassable or directly passable but not energy-optimal into the lowest energy consumption paths.Subsequently,corresponding constraints are defined to develop a model for multi-target path plan-ning.Finally,to address the low efficiency and poor feasibility of approximate optimal solutions in heuristic search algorithms for solving multi-target path planning problems,a clustering-based heuristic optimiza-tion strategy is proposed.Experimental results show that this method effectively solves the multi-target path planning problem,enabling unmanned vehicles to achieve more efficient and energy-saving autono-mous navigation in practical scenarios.关键词
路径规划/无人车能耗模型/聚类/贪婪算法/启发式算法Key words
path planning/unmanned vehicle energy consumption model/clustering/greedy algorithm/heuristic algorithm分类
计算机与自动化引用本文复制引用
赵佩,李雨佳,王志胜..基于能耗优化的无人车路径规划算法[J].机械与电子,2025,43(4):3-11,9.基金项目
国家自然科学基金资助项目(61903189) （61903189）
南京航空航天大学研究生创新竞赛项目(1003-016001) （1003-016001）
