Performance Prediction of Battery Pack Throughout the Entire Lifecycle Using Monte Carlo Algorithm and Joint Simulation of Multiple Physical Fields.
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| Title: | Performance Prediction of Battery Pack Throughout the Entire Lifecycle Using Monte Carlo Algorithm and Joint Simulation of Multiple Physical Fields. |
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| Authors: | Zeng, Liteng1 (AUTHOR), Weng, Chuanbo1 (AUTHOR) wencb@sdju.edu.cn, Xu, Fei1 (AUTHOR), Meng, Kangpei2 (AUTHOR) |
| Source: | Energy Science & Engineering. Jun2026, Vol. 14 Issue 6, p2736-2751. 16p. |
| Subject Terms: | *Monte Carlo method, *Thermoelectric effects, *Data analysis, *Reduced-order models |
| Reviews & Products: | MatLab (Computer software) |
| Abstract: | This article is based on the storage test of individual batteries. We combined the data analysis with the deductive simulation to predict the health status of the entire battery pack. Besides, we combined the storage process and discharge process of the battery pack based on the single‐cell storage test. Finally, the full life cycle state of health (SOH) of the battery pack was obtained through Monte Carlo simulation. In the discharge performance stage, the three‐dimensional structure of the battery pack during the discharge process was organically integrated and subjected to thermoelectric coupling simulation. The proposed MATLAB thermoelectric coupling simulation based on lumped parameter method not only reduces computational costs but also has high accuracy and feasibility. Thanks to the proposal of lumped parameter thermoelectric coupling simulation scheme, the simulation time has been significantly reduced, providing feasibility for the subsequent large number of Monte Carlo simulations. The method proposed by this research lays the foundation for estimating the full life cycle performance of batteries. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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