TY - JOUR
T1 - Generation of a driving cycle for battery electric vehicles:A case study of Beijing
AU - Gong, Huiming
AU - Zou, Yuan
AU - Yang, Qingkai
AU - Fan, Jie
AU - Sun, Fengchun
AU - Goehlich, Dietmar
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/5/1
Y1 - 2018/5/1
N2 - Driving cycle, which is widely adopted as a standard measurement procedure for evaluation of fuel economy, emission and driving range, can facilitate vehicle design and performance evaluation of emerging vehicular technologies. However, all current popular driving cycles are developed based on the operation characteristics of conventional vehicles, while the driving characteristics of battery electric vehicles could be quite different, which means traditional driving cycles may not be suitable for evaluating and improving battery electric vehicles. Thus it is important to develop a new driving cycle, which is consistent with real-world situations of battery electric vehicles for the development of new energy auto industry. In this study, the real-world operation data of battery electric vehicles in Beijing are collected with high frequency and the usage and driving characteristics of battery electric vehicles are analyzed based on the real-world data and compared with several standard cycles, such as New European Driving Cycle, Federal Test Procedure-75, and Japan 10–15. Then the Beijing driving cycle is developed using statistic and Markov chain method. The following evaluation proves the new developed driving cycle represents the real-world driving well, which establishes a solid foundation for accurate performance evaluation of battery electric vehicles at least in Beijing.
AB - Driving cycle, which is widely adopted as a standard measurement procedure for evaluation of fuel economy, emission and driving range, can facilitate vehicle design and performance evaluation of emerging vehicular technologies. However, all current popular driving cycles are developed based on the operation characteristics of conventional vehicles, while the driving characteristics of battery electric vehicles could be quite different, which means traditional driving cycles may not be suitable for evaluating and improving battery electric vehicles. Thus it is important to develop a new driving cycle, which is consistent with real-world situations of battery electric vehicles for the development of new energy auto industry. In this study, the real-world operation data of battery electric vehicles in Beijing are collected with high frequency and the usage and driving characteristics of battery electric vehicles are analyzed based on the real-world data and compared with several standard cycles, such as New European Driving Cycle, Federal Test Procedure-75, and Japan 10–15. Then the Beijing driving cycle is developed using statistic and Markov chain method. The following evaluation proves the new developed driving cycle represents the real-world driving well, which establishes a solid foundation for accurate performance evaluation of battery electric vehicles at least in Beijing.
KW - Battery electric vehicle
KW - Driving cycle
KW - Energy consumption
UR - http://www.scopus.com/inward/record.url?scp=85043518767&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2018.02.092
DO - 10.1016/j.energy.2018.02.092
M3 - Article
AN - SCOPUS:85043518767
SN - 0360-5442
VL - 150
SP - 901
EP - 912
JO - Energy
JF - Energy
ER -