Microsimulation of electric vehicle energy consumption and driving range. (1st June 2020)

• Record Type: Journal Article
• Authors: Xie, Yunkun; Li, Yangyang; Zhao, Zhichao; Dong, Hao; Wang, Shuqian; Liu, Jingping; Guan, Jinhuan; Duan, Xiongbo
• Is Part Of: Applied energy. Volume 267(2020)
• Publication Date: 2020-06-01
• Subjects: Electric vehicles -- Single pedal control system -- Performance prediction -- Energy consumption simulation model using digital twins -- Driving range -- Road traffic; BMS battery management system -- CNG compressed natural gas -- CLTC China light-duty vehicle test cycle -- DP dynamic programming -- Eq equation -- FTP75 Federal Test Procedure -- FCEVs fuel cell electric vehicle -- Fig figure -- GA genetic algorithm -- HEVs hybrid electric vehicles -- ICE internal combustion engine -- ICEVs internal combustion engine vehicles -- NEDC New European Driving Cycle -- PMSM Permanent magnetic synchronous machine -- PBEVs pure battery electric vehicles -- RBCS regenerative brake control system -- SPCS single pedal control system -- SOC state of charge -- VEFT vehicle energy flow test -- VEF vehicle energy flow -- WTW well-to-wheel -- WLTC World-wide harmonized Light-duty Test Cycle; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2020.115081
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A higher accuracy electric vehicle performance simulation model is developed. An electric vehicle model is calibrated by the experimental data. Average vehicle speed of driving cycle has main impact on energy consumption. Vehicle with regenerative braking saves 2.43% energy under congested traffic. Abstract: In order to predict and study the effects of different parameters on performance characteristics of electric vehicles. A vehicle simulation model of pure battery electric vehicles equipped with single pedal control system is established and calibrated by the experimental data based on vehicle energy flow and driving range analysis, the simulation doesn't include thermal aspect of the battery/vehicle. Next, the effects of different environmental and control parameters on energy consumption and driving range of pure electric vehicles are analyzed. The main findings are: (1) for the single driving cycle, the relative error of battery power and current is below 5%, and the absolute error of battery voltage is below 2.5 V. For the whole driving range, the absolute error of driving range is only about 5.75 km. (2) The main factors influencing energy consumption and driving range are average vehicle speed, running time and the frequency distribution of braking process, besides, the energy consumption of congested traffic with/without regenerative brake control system are 46.07 kW·h/100 km and 47.19 kW·h/100 km, respectively, meanwhile, vehicle with regenerative braking saves 2.43% energy under congested traffic. (3) The threshold of quitting the working condition of energy recovery for the motor can be set in a certain value based on the safety of driver in the emergencies and energy conversion. Further, the model and data in the paper can be applied to evaluate and optimize the energy consumption and driving range by changing different technologies or strategies in the future.