Abstract
The aim of this paper is to explore the changes of state of charge (SoC) distributions, due to the aging of batteries in vehicle fleets. For this purpose, the state of charge distribution of a new vehicle is modified in order to represent a vehicle with a sulfated battery. This new distribution is then combined with the probability distribution of the level of sulfation to create the SoC distribution of the aged fleet. The resulting SoC distributions for aged fleets match the corresponding measured distributions.To model the probability of the sulfation level in the battery, the paper analyzes 171 batteries and presents Weibull distributions to describe the probability for this aging behavior. These distributions exhibit a high accuracy within 4 different time ranges and their parameters have a linear time dependent behavior.
| Original language | English |
|---|---|
| Title of host publication | 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728156415 |
| DOIs | |
| State | Published - 10 Sep 2020 |
| Event | 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 - Monte-Carlo, Monaco Duration: 10 Sep 2020 → 12 Sep 2020 |
Publication series
| Name | 2020 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 |
|---|
Conference
| Conference | 15th International Conference on Ecological Vehicles and Renewable Energies, EVER 2020 |
|---|---|
| Country/Territory | Monaco |
| City | Monte-Carlo |
| Period | 10/09/20 → 12/09/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- AGM battery
- Weibull
- degradation
- probability distribution
- state of charge
- sulfation
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