Abstract
In recent years, affordable and clean energy have been the popular sustainable development goals for many countries. To support this goal, the carbon neutrality initiative has been embraced by many to reduce carbon emissions. The adoption of Electric Vehicles (EVs), which rely on clean energy sources, can help achieve this goal. EV technology is advancing rapidly, driven by the integration of Machine Learning (ML). ML has significantly impacted various areas of our lives, including its application in EVs. ML has shown potential in improving battery system management efficiently, optimizing drive and charging management. The main goal of this paper is to provide clear research directions for implementing machine learning in EVs.
| Original language | English |
|---|---|
| Title of host publication | 2024 10th International Conference on Smart Computing and Communication, ICSCC 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 671-675 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350363104 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 10th International Conference on Smart Computing and Communication, ICSCC 2024 - Bali, Indonesia Duration: 25 Jul 2024 → 27 Jul 2024 |
Publication series
| Name | 2024 10th International Conference on Smart Computing and Communication, ICSCC 2024 |
|---|
Conference
| Conference | 10th International Conference on Smart Computing and Communication, ICSCC 2024 |
|---|---|
| Country/Territory | Indonesia |
| City | Bali |
| Period | 25/07/24 → 27/07/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- battery
- charging
- Electric vehicles
- energy consumption
- machine learning
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