TY - GEN
T1 - Feasibility analysis and comparison of different types of electric vehicles
AU - Zhang, Chaohang
AU - Chen, Jianwei
AU - Wang, Yuhang
AU - Wang, Guibin
AU - Xu, Zhao
N1 - Funding Information:
Thanks for the support in part by the Shenzhen University Research and Development Startup Fund (No. 201530), National Basic Research Program (973 Program) (No. 2013CB228202), National Natural Science Foundation of China (No. 51507103, No. 51107114, No. 51177145), Shenzhen Urban Rail Transit Key Laboratory Foundation, and Natural Science Foundation of Guangdong Province (No. 2015A030310316).
PY - 2015/11
Y1 - 2015/11
N2 - With higher energy efficiency and less carbon intensive, widespread application of electric vehicle (EV) becomes a big trend in many transportation systems. Many cities start their green energy revolution of electric bus and taxi in public transportation systems. In this paper, value chain analysis and life cycle cost (LCC) are utilized to compare the operation feasibility of battery-chargingmode and battery-swapping-mode electric taxi. Quantitative cash flow analysis is presented to evaluate the profitability of the two different modes. The emission reduction of slow charging in batteryswapping-mode is also calculated. By analysis and calculation, it is found out that the Battery-Swapping-Mode needs larger investment to purchase reserve batteries at the initial state, but it will boost the service capability greatly, which is mainly resulted from releasing pure electric taxis' potential operating time and improving the profitability. Besides, the improvement of service ability benefits the charging service providers' profitability, drivers' waiting time and the taxi leasing companies could fully enjoy the market expanding of business growth without the existing bottleneck of the Battery-Charging-Mode. Meanwhile, we find that the slow charge of Battery-Swapping-Mode causes less impact and less harmonic pollution to the power grid, extends the battery operation life, improves charging efficiency and reduces pollutant emission, which conducive the widespread application of electric vehicle in long-term development.
AB - With higher energy efficiency and less carbon intensive, widespread application of electric vehicle (EV) becomes a big trend in many transportation systems. Many cities start their green energy revolution of electric bus and taxi in public transportation systems. In this paper, value chain analysis and life cycle cost (LCC) are utilized to compare the operation feasibility of battery-chargingmode and battery-swapping-mode electric taxi. Quantitative cash flow analysis is presented to evaluate the profitability of the two different modes. The emission reduction of slow charging in batteryswapping-mode is also calculated. By analysis and calculation, it is found out that the Battery-Swapping-Mode needs larger investment to purchase reserve batteries at the initial state, but it will boost the service capability greatly, which is mainly resulted from releasing pure electric taxis' potential operating time and improving the profitability. Besides, the improvement of service ability benefits the charging service providers' profitability, drivers' waiting time and the taxi leasing companies could fully enjoy the market expanding of business growth without the existing bottleneck of the Battery-Charging-Mode. Meanwhile, we find that the slow charge of Battery-Swapping-Mode causes less impact and less harmonic pollution to the power grid, extends the battery operation life, improves charging efficiency and reduces pollutant emission, which conducive the widespread application of electric vehicle in long-term development.
UR - http://www.scopus.com/inward/record.url?scp=84997207119&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:84997207119
T3 - IET Seminar Digest
BT - IET Seminar Digest
PB - Institution of Engineering and Technology
T2 - 10th International Conference on Advances in Power System Control, Operation and Management, APSCOM 2015
Y2 - 8 November 2015 through 12 November 2015
ER -