Effect of Sample Interval on the Parameter Identification Results of RC Equivalent Circuit Models of Li-ion Battery: An Investigation Based on HPPC Test Data
Abstract
:1. Introduction
2. Experiment Setup and Test Procedure
3. Test Data Analysis Method
3.1. Electric Circuit Model
3.2. Parameter Identification
3.3. Handling of Data Sample
4. Results
4.1. Validity Assessment
4.1.1. Goodness of Fit
4.1.2. Root Mean Square Error
4.2. Parameters Identification Results
4.2.1. Open-Circuit Voltage Values
4.2.2. Resistance and capacitance values of 1-RC circuit model
4.2.3. Resistance and Capacitance Values of 2-RC Circuit Model
4.3. Non-Dimensional Parameters
5. Discussion
6. Conclusions and Future Work
- Both the 1-RC circuit model and the 2-RC circuit model have fitting accuracy that is adequate for sample intervals of small duration, such as Δt = 0.1 s or Δt = 0.2 s. The 1-RC circuit model still exhibits a pleasing imitative effect when the sample interval Δt is greater than 0.5 s, while the fitted validity of the 2-RC circuit model suffers noticeably.
- The 2-RC circuit model’s resilience decreases as a result of the fitted flaw, which mostly focuses on the parameters of resistances and capacitances of the RC branches.
- A preliminary investigation shows that the calculation of resistance outside the RC branch, which depends on the capture of abrupt voltage changes at the start and end time points of the discharge pulse, is closely related to the effect of sample interval on parameter identification findings.
- High-order models can offer more reference data about the LIB’s internal performance, but when choosing an equivalent circuit model type for real-world applications, it is important to take into account a variety of factors, such as the facility’s conditions and the precision and robustness of parameter identification.
- Include the impact of ambient temperature, SOH, and LIB discharge time in the expanded range of data samples [33];
- Examine the impact rule in the context of various data fitting algorithms, particularly those new, improved algorithms that have been put forth recently [34];
- Characterize the impedance characteristics of the LIB [35] to provide a more thorough explanation of the influence mechanism of the sample interval.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Items | Parameters |
---|---|
Three-dimensional size | 240 × 170 × 22 mm |
Nominal capacity | 70 Ah |
Nominal voltage | 3.64 V |
Charge cut-off voltage | 4.2 V |
Discharge cut-off voltage | 3.2 V |
Nominal charge current | 1 C |
Nominal discharge current | 1 C |
Operation temperature range for charge | 0~40 °C |
Operation temperature range for discharge | −10~50 °C |
Time Interval | 1-RC Circuit Model | 2-RC Circuit Model | |||||||
---|---|---|---|---|---|---|---|---|---|
SOC | 0.1 s | 0.2 s | 0.5 s | 1.0 s | 0.1 s | 0.2 s | 0.5 s | 1.0 s | |
0.1 | 0.9975 | 0.9976 | 0.9992 | 0.9995 | 0.9998 | 0.9998 | 0.9996 | 0.9992 | |
0.2 | 0.9993 | 0.9993 | 0.9998 | 0.9997 | 0.9999 | 0.9999 | 0.9999 | 0.9995 | |
0.3 | 0.9995 | 0.9995 | 0.9998 | 0.9997 | 0.9999 | 0.9999 | 0.9999 | 0.9995 | |
0.4 | 0.9997 | 0.9997 | 0.9999 | 0.9997 | 0.9999 | 0.9999 | 0.9657 | 0.9516 | |
0.5 | 0.9996 | 0.9996 | 0.9999 | 0.9997 | 0.9999 | 0.9999 | 0.9998 | 0.9996 | |
0.6 | 0.9989 | 0.9989 | 0.9997 | 0.9995 | 0.9998 | 0.9998 | 0.9995 | 0.9607 | |
0.7 | 0.9991 | 0.9991 | 0.9997 | 0.9995 | 0.9999 | 0.9999 | 0.9994 | 0.9705 | |
0.8 | 0.9993 | 0.9993 | 0.9997 | 0.9996 | 0.9999 | 0.9999 | 0.9994 | 0.9992 | |
0.9 | 0.9990 | 0.9990 | 0.9998 | 0.9995 | 0.9999 | 0.9999 | 0.9992 | 0.9986 | |
1 | 0.9995 | 0.9995 | 0.9998 | 0.9996 | 0.9999 | 0.9999 | 0.9998 | 0.9993 |
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Zhang, H.; Deng, C.; Zong, Y.; Zuo, Q.; Guo, H.; Song, S.; Jiang, L. Effect of Sample Interval on the Parameter Identification Results of RC Equivalent Circuit Models of Li-ion Battery: An Investigation Based on HPPC Test Data. Batteries 2023, 9, 1. https://doi.org/10.3390/batteries9010001
Zhang H, Deng C, Zong Y, Zuo Q, Guo H, Song S, Jiang L. Effect of Sample Interval on the Parameter Identification Results of RC Equivalent Circuit Models of Li-ion Battery: An Investigation Based on HPPC Test Data. Batteries. 2023; 9(1):1. https://doi.org/10.3390/batteries9010001
Chicago/Turabian StyleZhang, Hehui, Chang Deng, Yutong Zong, Qingsong Zuo, Haipeng Guo, Shuai Song, and Liangxing Jiang. 2023. "Effect of Sample Interval on the Parameter Identification Results of RC Equivalent Circuit Models of Li-ion Battery: An Investigation Based on HPPC Test Data" Batteries 9, no. 1: 1. https://doi.org/10.3390/batteries9010001