Highlights Fast chargers are essential for BEV taxi drivers to conduct within day recharge. Charger infrastructure coverage is an important enabler for BEV taxi acceptance. Taxi drivers can utilize empty cruising time to charge with the help of taxi apps. Tailpipe emissions can be significantly reduced if ICE taxis are replaced by BEVs.
Abstract This paper investigates the market potential and environmental benefits of replacing internal combustion engine (ICE) vehicles with battery electric vehicles (BEVs) in the taxi fleet in Nanjing, China. Vehicle trajectory data collected by onboard global positioning system (GPS) units are used to study the travel patterns of taxis. The impacts of charger power, charging infrastructure coverage, and taxi apps on the feasibility of electric taxis are quantified, considering taxi drivers’ recharging behavior and operating activities. It is found that (1) depending on the charger power and coverage, 19% (with AC Level 2 chargers and 20% charger network coverage) to 56% (with DC chargers and 100% charger network coverage) of the ICE vehicles can be replaced by electric taxis without driving pattern changes; (2) by using taxi apps to find nearby passengers and charging stations, drivers could utilize the empty cruising time to charge the battery, which may increase the acceptance of BEVs by up to 82.6% compared to the scenario without taxi apps; and (3) tailpipe emissions in urban areas could be significantly reduced with taxi electrification: a mixed taxi fleet with 46% compressed-natural-gas-powered (CNG) and 54% electricity-powered vehicles can reduce the tailpipe emissions by 48% in comparison with the fleet of 100% CNG taxis.
Predicting market potential and environmental benefits of deploying electric taxis in Nanjing, China
2016-01-01
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Predicting market potential and environmental benefits of deploying electric taxis in Nanjing, China
Online Contents | 2016
|Charging infrastructure optimisation for electric taxis
TIBKAT | 2018
|Charging infrastructure optimisation for electric taxis
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