Measuring Performance Impact of Battery Swapping on Mobility Behavior

• Published in: 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) pp. 1 - 5
• Main Authors: Banerjee, Abhik, Murali, Vidhya, Venkoparao, Vijendran Gopalan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-08-2018
• Subjects: Batteries; Ecosystems; Mathematical model; Measurement; Public transportation; Stakeholders
• DOI: 10.1109/VTCFall.2018.8691034
• EISSN: 2577-2465

Battery swapping has attracted recent attention from transportation companies and government authorities alike as a solution to enable faster adoption of electric vehicles. While the attractiveness of battery swapping stems from its ability to alleviate the issues of cost, charging duration and operating range associated with electric vehicles, multiple challenges exist with regard to a large scale deployment of battery swapping. One of these is the optimal deployment of batteries and charging infrastructure across various swapping and charging stations. In this paper, we analyze the impact of battery distribution across swapping stations on the performance of their operations. We propose performance metrics to analyze the performance and show how mobility patterns impact performance of individual stations. Further, we show such performance can be improved through decentralized swapping decision making.