Abstract
Validated degradation models are needed to ensure optimized operation of battery systems. This paper presents a simplified electric vehicle battery degradation model, which estimates the degradation based on vehicle usage daily values. The model quantifies calendar and cycle degradation based on battery temperature, State-of-Charge and odometer. The model results are compared against two datasets of 2.5 years obtained with a LEAF e-plus: on-board State-of-Health readings retrieved from the battery management system and capacity estimations assessed while monitoring battery full recharges. The results show that, after 2.5 years, the model is well-aligned with the capacity estimations, while the on-board readings estimate the State-of-Health 1.3% lower. The obtained State-of-Health from the model after 2.5 years is equal to 95.6%, with calendar degradation being the major driver for the degradation cumulated so far.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 6th International Electric Vehicle Technology Conference |
| Number of pages | 8 |
| Publication date | 2023 |
| Publication status | Published - 2023 |
| Event | 6th International Electric Vehicle Technology Conference - Yokohama, Japan Duration: 22 May 2023 → 24 May 2023 Conference number: 6 |
Conference
| Conference | 6th International Electric Vehicle Technology Conference |
|---|---|
| Number | 6 |
| Country/Territory | Japan |
| City | Yokohama |
| Period | 22/05/2023 → 24/05/2023 |
Keywords
- Battery pack
- Calendar ageing
- Cycle ageing
- Degradation models
- Electric vehicles
- State-of-health
- Testing