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Faping Wang
Research Center for Modern Logistics, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China

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Journal article
Published: 21 October 2019 in Sustainability
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This study researches the dynamical location optimization problem of a mobile charging station (MCS) powered by a LiFePO 4 battery to meet charging demand of electric vehicles (EVs). In city suburbs, a large public charging tower is deployed to provide recharging services for MCS. The EV’s driver can reserve a real-time off-street charging service on the MCS through a vehicular communication network. This study formulates a multi-period nonlinear flow-refueling location model (MNFRLM) to optimize the location of the MCS based on a network designed by Nguyen and Dupuis (1984). The study transforms the MNFRLM model into a linear integer programming model using a linearization algorithm, and obtains global solution via the NEOS cloud CPLEX solver. Numerical experiments are presented to demonstrate the model and its solution algorithm.

ACS Style

Faping Wang; Rui Chen; Lixin Miao; Peng Yang; Bin Ye. Location Optimization of Electric Vehicle Mobile Charging Stations Considering Multi-Period Stochastic User Equilibrium. Sustainability 2019, 11, 5841 .

AMA Style

Faping Wang, Rui Chen, Lixin Miao, Peng Yang, Bin Ye. Location Optimization of Electric Vehicle Mobile Charging Stations Considering Multi-Period Stochastic User Equilibrium. Sustainability. 2019; 11 (20):5841.

Chicago/Turabian Style

Faping Wang; Rui Chen; Lixin Miao; Peng Yang; Bin Ye. 2019. "Location Optimization of Electric Vehicle Mobile Charging Stations Considering Multi-Period Stochastic User Equilibrium." Sustainability 11, no. 20: 5841.

Journal article
Published: 23 September 2018 in Sustainability
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China has been one of the most aggressive countries in electric vehicle (EV) promotion. However, private EV sales fail to achieve the government’s target. In particular, cutting purchase subsidies poses great uncertainty in relation to EV diffusion. In this research, a system dynamics model aims to investigate the influence of government policies, infrastructure development plans, the duration of policies, and the phase out strategy of policies. Parameters relating to consumers’ preferences are drawn from a questionnaire survey, which is conducted in Shenzhen, the pioneer city in China’s EV promotion. The result of a scenario analysis shows that purchase subsidies, purchase restrictions and driving restrictions are the most effective policies for EV promotion. Driving restrictions are more effective but less easy to enforce than purchase restrictions. The number and location of charging piles are much more important than large charging stations. Moreover, EV diffusion can be self-sufficient after current policies have been maintained for 11 years. We find that the gradual removal of subsidies will cause a four-year delay in EV sales entering rapid growth in Shenzhen. However, cutting subsidies in cities without purchase restrictions will cause the failure of EV promotion.

ACS Style

Jiali Yu; Peng Yang; Kai Zhang; Faping Wang; Lixin Miao. Evaluating the Effect of Policies and the Development of Charging Infrastructure on Electric Vehicle Diffusion in China. Sustainability 2018, 10, 3394 .

AMA Style

Jiali Yu, Peng Yang, Kai Zhang, Faping Wang, Lixin Miao. Evaluating the Effect of Policies and the Development of Charging Infrastructure on Electric Vehicle Diffusion in China. Sustainability. 2018; 10 (10):3394.

Chicago/Turabian Style

Jiali Yu; Peng Yang; Kai Zhang; Faping Wang; Lixin Miao. 2018. "Evaluating the Effect of Policies and the Development of Charging Infrastructure on Electric Vehicle Diffusion in China." Sustainability 10, no. 10: 3394.

Journal article
Published: 30 March 2017 in Sustainability
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China promoted the large-scale adoption of Electric Vehicles (EVs) in its 13th five-year plan; however, this target faces many obstacles. This paper analyzes the main barriers to widespread adoption of EVs through a survey in Shenzhen, which has the biggest EVs market share out of China’s major cities. Based on previous research, this paper conducted a new study using 406 approved questionnaires among 500 participants. Our study proposed five hypotheses to examine the main barriers to widespread adoption of EVs. The analysis was conducted using statistical method that included two-way frequency tables, chi-square test, and factor analysis. The results indicated that perception of advantages of EVs and access to recharging EVs remained the main barriers in large-scale penetration. Furthermore, our study revealed that a drop in financial incentives would not cause a significant decline in the future adoption of EVs. The study provides suggestions to car manufacturers and government policy advisors based on our analysis and discussion.

ACS Style

Fa-Ping Wang; Jia-Li Yu; Peng Yang; Li-Xin Miao; Bin Ye. Analysis of the Barriers to Widespread Adoption of Electric Vehicles in Shenzhen China. Sustainability 2017, 9, 522 .

AMA Style

Fa-Ping Wang, Jia-Li Yu, Peng Yang, Li-Xin Miao, Bin Ye. Analysis of the Barriers to Widespread Adoption of Electric Vehicles in Shenzhen China. Sustainability. 2017; 9 (4):522.

Chicago/Turabian Style

Fa-Ping Wang; Jia-Li Yu; Peng Yang; Li-Xin Miao; Bin Ye. 2017. "Analysis of the Barriers to Widespread Adoption of Electric Vehicles in Shenzhen China." Sustainability 9, no. 4: 522.