2020
DOI: 10.1002/er.6087
|View full text |Cite
|
Sign up to set email alerts
|

A dynamic electro‐thermal coupled model for temperature prediction of a prismatic battery considering multiple variables

Abstract: Summary A dynamic coupled electro‐thermal model including the impact of the state of charge (SOC), inner temperature and current flux on resistance and heat generation rate is proposed for prismatic batteries, including the ohmic and polarization resistances and entropy coefficient. This model reflects the interaction between generation rate of heat and temperature distribution and is appropriate to be employed. Subsequently, the dynamic model is implemented to reveal the temperature increase of a Li‐ion prism… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6

Relationship

3
3

Authors

Journals

citations
Cited by 17 publications
(10 citation statements)
references
References 36 publications
0
10
0
Order By: Relevance
“…In addition, polarization internal resistance is greatly affected by SOC, especially in the terminal area of SOC. 28,29 At this time, the model parameters will be disturbed and lead to abnormal jitter, and since the parameter identification method based on FFRLS does not track parameter changes, model identification accuracy is reduced. Thus, FF-AGLS is proposed in this paper in order to attempt to solve the above problems.…”
Section: Online Parameter Identification Methods Based On Alternating...mentioning
confidence: 99%
See 3 more Smart Citations
“…In addition, polarization internal resistance is greatly affected by SOC, especially in the terminal area of SOC. 28,29 At this time, the model parameters will be disturbed and lead to abnormal jitter, and since the parameter identification method based on FFRLS does not track parameter changes, model identification accuracy is reduced. Thus, FF-AGLS is proposed in this paper in order to attempt to solve the above problems.…”
Section: Online Parameter Identification Methods Based On Alternating...mentioning
confidence: 99%
“…Moreover, ohmic internal resistance and polarization internal resistance are greatly affected by temperature and SOC, among which the ohmic resistance is very significantly affected by temperature interference, especially at low temperatures. In addition, polarization internal resistance is greatly affected by SOC, especially in the terminal area of SOC 28,29 . At this time, the model parameters will be disturbed and lead to abnormal jitter, and since the parameter identification method based on FFRLS does not track parameter changes, model identification accuracy is reduced.…”
Section: Establishment Of Battery Equivalent Circuit Model and Online...mentioning
confidence: 99%
See 2 more Smart Citations
“…The detailed modeling process and experimental validation of the resistance-based battery model are described in our previous studies (Li et al, 2020).…”
Section: Battery Heat Generation Modelmentioning
confidence: 99%