Abstract
The battery model is the basis for battery state estimation, and its accuracy will directly affect the accuracy of the estimate. In the field of rail transit, combined with the actual operating conditions of the train to properly allocate the battery capacity, it is also necessary to establish an accurate battery model. At present, the commonly used battery model less considers the influence of temperature on the model parameters[1]. Because of the extreme low temperature conditions during the actual running of the train, this paper uses lithium iron phosphate battery as the research object, based on the second-order equivalent circuit model of the battery[2]. At the same time, considering the influence of low temperature on the available capacity of the battery[3], open circuit voltage, ohmic internal resistance and polarization parameters, a battery model suitable for room temperature below is proposed[4].
| Original language | English |
|---|---|
| Number of pages | 6 |
| Journal | Energy Proceedings |
| Volume | 7 |
| DOIs | |
| Publication status | Published - 2019 |
| Externally published | Yes |
| Event | 5th Applied Energy Symposium: Low Carbon Cities and Urban Energy Systems, CUE 2019 - Xiamen, China Duration: 16 Oct 2019 → 18 Oct 2019 |
Bibliographical note
Open accessFunding
This work is supported by the National Key R&D Program of China (Grant NO.2017YFB1201004) and the National Natural Science Foundation of China (Grant No. 51907005).
| Funders | Funder number |
|---|---|
| National Key Research and Development Program of China | 2017YFB1201004 |
| National Natural Science Foundation of China | 51907005 |
Keywords
- LFP lithium-ion battery
- Modeling below room temperature
- Nernst equation
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Fuel Technology
- Renewable Energy, Sustainability and the Environment
- Energy (miscellaneous)