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1 s2.0 S2666546825000102 Main by Thoms 2015 is a document available to read on EtoBox.
This paper presents a data-driven approach utilizing a conditional generative adversarial network to model the open circuit voltage hysteresis of LiFePO4 batteries, addressing the complex dependencies on state-of-charge, temperature, and aging. The proposed model demonstrates a voltage error of less than 3.8 mV and achieves accuracy improvements of 31.3–48.7% compared to existing models. Comprehensive experimental data was collected under various conditions to validate the model
- Author
- Thoms 2015
- Language
- EN