TY - GEN
T1 - Usage Pattern Analytics of Fuel Cell Vehicle Based on Big Data Analysis
AU - Pang, Hao
AU - Liu, Peng
AU - Wang, Shuo
AU - Wang, Zhenpo
AU - Zhang, Zhaosheng
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/25
Y1 - 2020/12/25
N2 - With the development of the automobile industry, the research of new energy vehicles with longer driving range and shorter refueling time has become the focus of automobile industry. In recent years, China has issued a series of policies to promote the development of the fuel cell vehicle industry. To better grasp the operating condition of fuel cell vehicle (FCV), it is necessary to study the use of FCVs (such as travel mileage, travel time, etc.). Based on the Service and Management center for EVs (SMC-EV), this paper conducts a statistical analysis of the travel data of more than 1, 000 FCVs which are running in Shanghai and Foshan. These vehicles are divided into buses and logistics vehicles, and their trips on weekdays and weekends are distinguished. Their single-day trip mileage, single-trip mileage, daily trip starts and end time and other data are analyzed in detail. The analysis results have reference value for the formulation of FCV-related policies and the construction of hydrogen refueling stations in these two cities and even the whole country.
AB - With the development of the automobile industry, the research of new energy vehicles with longer driving range and shorter refueling time has become the focus of automobile industry. In recent years, China has issued a series of policies to promote the development of the fuel cell vehicle industry. To better grasp the operating condition of fuel cell vehicle (FCV), it is necessary to study the use of FCVs (such as travel mileage, travel time, etc.). Based on the Service and Management center for EVs (SMC-EV), this paper conducts a statistical analysis of the travel data of more than 1, 000 FCVs which are running in Shanghai and Foshan. These vehicles are divided into buses and logistics vehicles, and their trips on weekdays and weekends are distinguished. Their single-day trip mileage, single-trip mileage, daily trip starts and end time and other data are analyzed in detail. The analysis results have reference value for the formulation of FCV-related policies and the construction of hydrogen refueling stations in these two cities and even the whole country.
KW - Big Data
KW - Fuel Cell Vehicle
KW - Travel Mileage Distribution
KW - Usage Pattern
UR - http://www.scopus.com/inward/record.url?scp=85101695863&partnerID=8YFLogxK
U2 - 10.1109/ICPES51309.2020.9349670
DO - 10.1109/ICPES51309.2020.9349670
M3 - Conference contribution
AN - SCOPUS:85101695863
T3 - 2020 10th International Conference on Power and Energy Systems, ICPES 2020
SP - 373
EP - 378
BT - 2020 10th International Conference on Power and Energy Systems, ICPES 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Power and Energy Systems, ICPES 2020
Y2 - 25 December 2020 through 27 December 2020
ER -