EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
1993. Degradation-Conscious Charge Management: Comparison of Different Techniques to Include Battery Degradation in Electric Vehicle Charging Optimization
Invited abstract in session TB-22: Optimization for electric vehicles, stream Energy Management.
Tuesday, 10:30-12:00Room: 81 (building: 116)
Authors (first author is the speaker)
| 1. | Ferran Pinsach Batet
|
| Energy Systems Analytics Research Group, Institut de Recerca en Energia de Catalunya | |
| 2. | Tomas Montes
|
| Energy Systems Analytics Research Group, Institut de Recerca en Energia de Catalunya | |
| 3. | Lucia Igualada
|
| Energy Systems Analytics Research Group, Intitut de Recerca en Energia de Catalunya | |
| 4. | Josh Eichman
|
| Energy Systems Analytics Research Group, Institut de Recerca en Energia de Catalunya |
Abstract
With the rise of battery electric vehicles and advancements in smart charging, there is potential to enhance flexibility and decrease charging expenses. However, degradation is often cited as a major concern for vehicle owners and must be considered. This paper focus on unidirectional smart charging, often overlooked despite its prevalence. To do so, the authors proposed three kinds of Mixed Integer Linear Problems (MILPs): 1) implementing good usage practices, 2) two-steps direct evaluation of a semi-empirical battery degradation model, and 3) introducing economic weighting for charge rate and State of Charge degradation into the objective function. The objective function includes energy price arbitrage against retail tariffs and to increase realism, MILP models introduced minimum charging value and a maximum charging curve. Each of these models have different strengths and weaknesses which are explored in detail. The authors performed 384 scenarios, considering different charging time slots, initial State of Charge, State of Health, maximum delivering power, and energy price signal, all applied across 6 models. On average the adoption of smart strategies implied a total cost (energy bill plus battery degradation associated cost) reduction between 13.3% and 14.4%, compared with immediate charging. When comparing against a simple smart model without consideration for degradation, total cost improvements ranged between 0.9% and 1.4%.
Keywords
- OR in Energy
- Scheduling
Status: accepted
Back to the list of papers