Taxi trajectory data based fast-charging facility planning for urban electric taxi systems

Hua Wang, De Zhao, Yutong Cai, Qiang Meng and Ghim Ping Ong

Applied Energy, 2021, vol. 286, issue C, No S0306261921000696

Abstract: This study develops a taxi trajectory data based fast-charging facility planning model for an urban taxi system by considering battery degradation and vehicle heterogeneity in driving range. The developed model comprises three functional modules: (i) fast-charging location determination, (ii) fast-charging facility deployment (FCFD) and (iii) FCFD solution tuning. Under the FCFD module, charging demand prediction considering battery degradation and vehicle heterogeneity, charging demand allocation and charger configuration optimization are executed sequentially. The FCFD solution is tuned by an effective backward elimination method to find a more economic and practical planning solution where the minimal number of chargers at each station can be specified. A case study in Singapore is thoroughly conducted, and insightful policy implications are revealed: policy-makers could use the tuning mechanism to significantly save investment and reduce total waiting time for charging; overlooking battery degradation and vehicle heterogeneity will yield a biased electric taxi charging facility planning.

Keywords: Electric taxi; Taxi trajectory; Fast-charging facility deployment; Battery degradation; Vehicle heterogeneity in driving range; Multi-objective planning (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (9)

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DOI: 10.1016/j.apenergy.2021.116515

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