Improved Multiple Feature-Electrochemical Thermal Coupling Modeling of Lithium-Ion Batteries at Low-Temperature with Real-Time Coefficient Correction
Inner Mongolia University of Technology · Southwest University of Science and Technology
Abstract
Monitoring various internal parameters plays a core role in ensuring the safety of lithium-ion batteries in power supply applications. It also influences the sustainability effect and online state of charge prediction. An improved multiple feature-electrochemical thermal coupling modeling method is proposed considering low-temperature performance degradation for the complete characteristic expression of multi-dimensional information. This is to obtain the parameter influence mechanism with a multi-variable coupling relationship. An optimized decoupled deviation strategy is constructed for accurate state of charge prediction with real-time correction of time-varying current and temperature effects. The…
Citation impact
- FWCI
- 36.65
- Percentile
- 100%
- References
- 62
Authors
6- SWShunli WangCorresponding
Inner Mongolia University of Technology, Southwest University of Science and Technology
- HGHaiying Gao
Southwest University of Science and Technology, Inner Mongolia University of Technology
- PTPaul Takyi‐Aninakwa
Inner Mongolia University of Technology, Southwest University of Science and Technology
- JMJosep M. Guerrero
Southwest University of Science and Technology, Inner Mongolia University of Technology
- CFCarlos Fernández
Southwest University of Science and Technology, Inner Mongolia University of Technology
Topics & keywords
- Decoupling (probability)
- State of charge
- Coupling (piping)
- Control theory (sociology)
- Voltage
- Coupling coefficient of resonators
- Thermal
- Electronic engineering