TY - JOUR
T1 - Exploring the role of technology innovations in the diffusion of electric vehicle with an agent-based spatial integrated model
AU - Zhuge, Chengxiang
AU - Dong, Chunjiao
AU - Wei, Binru
AU - Shao, Chunfu
N1 - Funding Information:
This research was supported by the Hong Kong Polytechnic University [1-BE2J], the National Natural Science Foundation of China (52002345), and the ERC Starting Grant #678799 for the SILCI project (Social Influence and disruptive Low Carbon Innovation).
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/11
Y1 - 2021/11
N2 - Technology innovations are expected to overcome several barriers to the uptake of Electric Vehicles (EVs). This paper explored the role of battery and charging technologies in the diffusion of EVs. Specifically, four groups of “what-if” scenario in Beijing were set up to assess the potential impacts of battery cost (i.e., EV price), battery capacity (i.e., driving range), battery swap stations and fast charging posts on the expansion of EV market. An agent-based spatial integrated model (SelfSim-EV) was used to simulate how vehicle consumers might respond to these technological innovations over time. The results suggested that 1) Plug-in Hybrid Electric Vehicle (PHEV) became competitive when its sale price decreased over time at a yearly rate of 8%, due to the decrease in battery cost; 2) Increasing the driving range of Battery Electric Vehicle (BEV) had little influence on the total number of vehicle purchasers, but did increase electricity consumption; 3) Deploying fast charging infrastructures, i.e., battery swap stations and fast charging posts, had little influence on the uptake of EVs at the macro level, suggesting that fast charging facilities might not be necessary at the early stage of EV development.
AB - Technology innovations are expected to overcome several barriers to the uptake of Electric Vehicles (EVs). This paper explored the role of battery and charging technologies in the diffusion of EVs. Specifically, four groups of “what-if” scenario in Beijing were set up to assess the potential impacts of battery cost (i.e., EV price), battery capacity (i.e., driving range), battery swap stations and fast charging posts on the expansion of EV market. An agent-based spatial integrated model (SelfSim-EV) was used to simulate how vehicle consumers might respond to these technological innovations over time. The results suggested that 1) Plug-in Hybrid Electric Vehicle (PHEV) became competitive when its sale price decreased over time at a yearly rate of 8%, due to the decrease in battery cost; 2) Increasing the driving range of Battery Electric Vehicle (BEV) had little influence on the total number of vehicle purchasers, but did increase electricity consumption; 3) Deploying fast charging infrastructures, i.e., battery swap stations and fast charging posts, had little influence on the uptake of EVs at the macro level, suggesting that fast charging facilities might not be necessary at the early stage of EV development.
KW - Agent-based modelling
KW - Battery cost
KW - Driving range
KW - Electric vehicle
KW - Fast charging facilities
KW - Technology innovations
UR - http://www.scopus.com/inward/record.url?scp=85111014811&partnerID=8YFLogxK
U2 - 10.1016/j.resconrec.2021.105806
DO - 10.1016/j.resconrec.2021.105806
M3 - Journal article
AN - SCOPUS:85111014811
SN - 0921-3449
VL - 174
JO - Resources, Conservation and Recycling
JF - Resources, Conservation and Recycling
M1 - 105806
ER -