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. © 2023 IEEE.
| Original language | English |
|---|---|
| Title of host publication | IEEE ISPCE-AS 2023 - IEEE International Symposium on Product Compliance Engineering-Asia 2023 |
| Publisher | IEEE |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350361209 |
| ISBN (Print) | 9798350361216 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE International Symposium on Product Compliance Engineering-Asia 2023 (ISPCE-ASIA 2023): Product Safety for Smart City - Shanghai, China Duration: 3 Nov 2023 → 5 Nov 2023 https://dl2link.com/ISPCE |
Publication series
| Name | ISPCE-AS - IEEE International Symposium on Product Compliance Engineering - Asia |
|---|---|
| ISSN (Print) | 2831-3402 |
| ISSN (Electronic) | 2831-3410 |
Conference
| Conference | 2023 IEEE International Symposium on Product Compliance Engineering-Asia 2023 (ISPCE-ASIA 2023) |
|---|---|
| Abbreviated title | IEEE ISPCE-AS 2023 |
| Place | China |
| City | Shanghai |
| Period | 3/11/23 → 5/11/23 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Research Keywords
- electric vehicle
- path planning
- regenerative braking
- road inclination
- value iteration
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