Charge Planning and Thermal Management of Battery Electric Vehicles

被引:6
作者
Hamednia, Ahad [1 ]
Hanson, Victor [1 ]
Zhao, Jiaming [2 ]
Murgovski, Nikolce [3 ]
Forsman, Jimmy [1 ]
Pourabdollah, Mitra [1 ]
Larsson, Viktor [1 ]
Fredriksson, Jonas [3 ]
机构
[1] Volvo Car Corp, Energy Management Dept, S-40531 Gothenburg, Sweden
[2] Volvo Car Corp, Exterior Syst Team, S-40531 Gothenburg, Sweden
[3] Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden
关键词
Grid-to-meter energy efficiency; thermal management; charging; heat pump; charge point planning; HEAT-RECOVERY; PERFORMANCE;
D O I
10.1109/TVT.2023.3284916
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This article studies optimal thermal management and charging of a battery electric vehicle driving over long-distance trips. The focus is on the potential benefits of including a heat pump in the thermal management system for waste heat recovery, and charging point planning, in a way to achieve optimality in time, energy, or their trade-off. An optimal control problem is formulated, in which the objective function includes the energy delivered by the charger(s), and the total charging time including the actual charging time and the detour time to and from the charging stop. To reduce the computational complexity, the formulated problem is then transformed into a hybrid dynamical system, where charging dynamics are modeled in the domain of normalized charging time. Driving dynamics can be modeled in either trip time or travel distance domains, as the vehicle speed is assumed to be known a priori, and the vehicle is only stopping at charging locations. Within the hybrid dynamical system, a binary variable is introduced for each charging location, in order to decide whether to use or skip a charger. This problem is solved numerically, and simulations are performed to evaluate the performance in terms of energy efficiency and time. The simulation results indicate that the time required for charging and total energy consumption are reduced up to 30.6% and 19.4%, respectively, by applying the proposed algorithm.
引用
收藏
页码:14141 / 14154
页数:14
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