Abstract
Due to the fast increasing number of electric vehicles (EVs) and the resulting stress on the electricity grid, smart charging algorithms are needed to prevent grid problems. EV charging problems have already been topic of research before, but the focus was mainly on convex objective functions. For nonconvex objectives, however, there is no efficient solution method available. However, such objectives occur when e.g. charging efficiency is taken into account. We show that this addition makes the problem NP-hard in general but a polynomial time algorithm still exists when the objective function is concave. Furthermore, an approximation algorithm is given with a performance that is bounded by the maximum difference between the given objective function and its convex envelope. Finally, we show how this algorithm can be applied to the EV charging problem.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE Kiel PowerTech, PowerTech 2025 |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 979-8-3315-4397-6 |
| ISBN (Print) | 979-8-3315-4398-3 |
| DOIs | |
| Publication status | Published - 29 Jun 2025 |
| Event | 16th IEEE Kiel PowerTech, PowerTech 2025: Powering the Energy System Transformation - Kiel University , Kiel, Germany Duration: 29 Jun 2025 → 3 Jul 2025 Conference number: 16 https://2025.ieee-powertech.org/ |
Publication series
| Name | Power Tech Conference |
|---|---|
| Publisher | IEEE |
| Volume | 2025 |
Conference
| Conference | 16th IEEE Kiel PowerTech, PowerTech 2025 |
|---|---|
| Abbreviated title | PowerTech 2025 |
| Country/Territory | Germany |
| City | Kiel |
| Period | 29/06/25 → 3/07/25 |
| 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
Keywords
- 2026 OA procedure
- EV charging
- non-convex
- resource allocation problem
- decentralized energy management
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