汽车工程学报2026，Vol.16Issue(5)：792-804,13.DOI:10.3969/j.issn.2095‒1469.2026.05.07
考虑混合交通约束的网联汽车分层能量管理策略
Hierarchical Energy Management Strategy for Connected Vehicles Under Mixed Traffic Constraints
摘要
Abstract
Improving the generalization ability of energy management strategies(EMSs)for connected vehicles in mixed traffic scenarios remains challenging.Therefore,this paper proposes a hierarchical EMS that combines adaptive velocity planning with dynamic energy optimization under mixed traffic constraints.A mixed traffic constraint model is established,incorportating traffic signals,road speed limits,and preceding vehicles.Then,a rule-based traffic scene classification algorithm is proposed,and an MPC-based scene adaptive velocity planning algorithm is constructed.An EMS based on Pontryagin's Minimum Principle(PMP)is proposed for dual-motor electric light trucks to optimize the power output of the two motors.A Matlab/SUMO co-simulation platform is built for comparative simulation and verification.The results show that,compared to the Krauss car-following model and rule-based EMS,the proposed hierarchical EMS reduces electricity consumption by 25.6%.It also achieves 97.9%of the performance of the global optimization algorithm.In addition,the proposed strategy significantly reduces the number of stops,optimizes peak acceleration and deceleration,and improves vehicle ride comfort.关键词
网联汽车/混合交通约束/车速规划/分层能量管理Key words
connected vehicles/mixed traffic constraints/velocity planning/hierarchical energy management分类
交通工程引用本文复制引用
张邦财,韩凯,孙楠楠,马文晓,赵强,曾小华..考虑混合交通约束的网联汽车分层能量管理策略[J].汽车工程学报,2026,16(5):792-804,13.基金项目
内燃机与动力系统全国重点实验室开放基金项目(skleps-sq-2023-003) （skleps-sq-2023-003）
