@inproceedings{d3b111d9ac69486484c60277f2b6f39f,
title = "The Impact of Regenerative Braking in Electric Vehicles to Energy-efficient Routing Performance",
abstract = "Regenerative braking has been demonstrated as an effective way in prolonging the mileages of electric vehicle (EV). In this paper, we aim to examine a generic research problem on how to better utilise the regenerative braking for energy efficiency when routing EV. To this end, we consider a Markov decision process (MDP) based model with 4 distinct reward functions to plan the paths for the EV to traverse a hilly landscape. The results show that by using net energy used as the reward function, the most energy-efficient path can be found. In addition, taking proactive detours can be an energy-efficient way to either avoid excessive energy consumption or prompt energy regeneration.",
keywords = "electric vehicle, path planning, regenerative braking, road inclination, value iteration",
author = "Xiaowen Bi and Wang, \{Jing V.\} and Cheng, \{Chi Tsun\} and Edward Chung",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Symposium on Product Compliance Engineering - Asia 2023, ISPCE-AS 2023 ; Conference date: 03-11-2023 Through 05-11-2023",
year = "2023",
doi = "10.1109/ISPCE-ASIA60405.2023.10365906",
language = "English",
series = "ISPCE-AS 2023 - IEEE International Symposium on Product Compliance Engineering - Asia 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISPCE-AS 2023 - IEEE International Symposium on Product Compliance Engineering - Asia 2023",
}
