Abstract
Lithium ion battery models play an important role in the battery management system of electric vehicles. Recently, fractional order modelling has drawn more attention due to the high accuracy and adjustable computational burden. Plenty of fractional order battery models have been proposed for voltage simulation and state estimation. Although they have been proved to be more accurate than traditional equivalent circuit models, there is no study comparing existing fractional order models. In this work, fractional order models used for voltage simulation and state estimation in literature have been summarized and compared. They are identified under different temperatures and ageing statuses, and the parameterized models are then validated using different profiles. The computational burden is also analyzed to find the best fractional order model. The results show that not the most complex fractional order models originating from impedance spectra fitting is not applicable for time domain simulation, and the difference between impedance spectra fitting and time domain simulation can't be ignored.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728112176 |
| DOIs | |
| Publication status | Published - Apr 2019 |
| Event | 89th IEEE Vehicular Technology Conference, VTC Spring 2019 - Kuala Lumpur, Malaysia Duration: 28 Apr 2019 → 1 May 2019 |
Publication series
| Name | IEEE Vehicular Technology Conference |
|---|---|
| Volume | 2019-April |
| ISSN (Print) | 1550-2252 |
Conference
| Conference | 89th IEEE Vehicular Technology Conference, VTC Spring 2019 |
|---|---|
| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 28/04/19 → 1/05/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Electric vehicles
- Fractional order model
- Lithium ion batteries
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