期刊
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
卷 123, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trd.2023.103900
关键词
Driving cycle; Transportation electrification; Markov chain; Electric vehicle
Due to the fundamental differences in motors and internal combustion engines, the real-time energy consumption profiles of ICEVs and EVs are different, which motivates the need to identify the driving cycle for different types of vehicles. This study proposes a systematic method to develop the driving cycle for EVs and ICEVs, and compares them in the same traffic environment to illustrate the impact of driving cycle electrification.
Due to the fundamental differences in motors and internal combustion engines, the real-time energy consumption profiles of internal combustion engine vehicles (ICEVs) and electric vehicles (EVs) are different, which motivates the need to identify the driving cycle for different types of vehicles. Existing EV driving cycle studies did not provide comparisons with ICEV driving cycles using the same geographical locations. This paper proposes a systematic method to develop the driving cycle cycles for EVs and ICEVs and combine the self-organizing map and support vector machine to eliminate the inconsistent clustering results in the driving segment classification, improving the clustering performance by 6.06-16.05%. Then, the driving cycles for the EV and ICEV are established under peak and off-peak traffic periods, and compared in the same traffic environment to illustrate the influence of driving cycle electrification. The emissions and energy consumption are also analyzed and compared for both types of vehicles.
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