节点文献
基于模型预测控制的电动汽车低温供暖三重混合热管理策略(英文)
Effect of Range Extender Active Preheating Battery on Operating Cost for Range-Extended Electric Vehicle
【摘要】 提出一种集成热泵、PTC加热器和电机废热回收的集成热管理系统,用于提高电池预热速度,保持座舱热舒适性,以及降低电动汽车的整体能耗。同时,提出一种热管理控制策略,该策略采用模型预测控制来优化加热器功率控制。通过Simulink和AMEsim的联合仿真验证所提出集成热管理系统的可行性。结果表明,与基准方案相比,所提出的集成热管理系统在3个WLTC驾驶循环中分别可以节省6.99%、4.75%和2.36%的车辆SOC总能量消耗;在此基础上,所提出的热管理控制策略可使车辆SOC消耗减少0.53%。
【Abstract】 Electric vehicles experience significant range limitations due to decreased lithium-ion battery performance at low temperatures and substantial energy consumption by air conditioning systems. This study presents an integrated thermal management system topology for electric vehicles that implements a triplehybrid heating strategy, combining a heat pump system, auxiliary positive temperature coefficient heater, and motor waste heat recovery. This approach enhances battery preheating efficiency while maintaining cabin thermal comfort and reducing overall energy consumption. To address challenges in secondary loop flow distribution and heater power control, a vehicle-level model predictive controller was developed based on heat transfer principles. Additionally, a heating optimization strategy specifically designed for the proposed thermal management topology was introduced. The viability of the proposed topology was validated through co-simulation using Simulink and AMEsim. Results demonstrate that the proposed integrated thermal management system solution achieves energy savings of 6.99%, 4.75%, and 2.36% in vehicle SOC consumption across three WLTC driving cycles, compared to alternative solutions. Moreover, the MPC control strategy yields an additional 0.53% reduction in overall vehicle SOC consumption upon completion.
【Key words】 electric vehicles; triple-hybrid heating; low-temperature conditions; thermal management system; model predictive control;
- 【文献出处】 同济大学学报(自然科学版) ,Journal of Tongji University(Natural Science) , 编辑部邮箱 ,2025年S1期
- 【分类号】U469.72
- 【下载频次】10