Ujwal Jibhkate

Ujwal Jibhkate

I like to learn new things!

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Development of Integrated Test Set for SoC-SoH Estimation of Lithium-Ion Battery

Published in ICAER 2022, 2023

This paper focuses on the development of a microcontroller-based, low-cost test setup designed to estimate the State of Charge (SoC) and State of Health (SoH) of lithium-ion batteries (LiB). It highlights the challenge of accurately quantifying SoC and SoH, despite many existing methods that often rely on detailed battery data during charge-discharge cycles. The proposed test system, equipped with a single bidirectional power converter, allows precise control over the charge and discharge processes through PI control loops. Additionally, the test set can monitor key parameters like battery voltage, current, and temperature, and transfer data via USB to a PC or flash drive for further analysis. The paper also presents the successful development of a laboratory prototype and demonstrates SoC estimation using multiple methods with test results.

Recommended citation: Mujumdar, U. B., and U. N. Jibhkate. "Development of Integrated Test Set for SoC-SoH Estimation of Lithium-Ion Battery." International Conference on Advances in Energy Research. Singapore: Springer Nature Singapore, 2022.
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Development of low complexity open circuit voltage model for state of charge estimation with novel curve modification technique

Published in Electrochimica Acta, 2022

This paper focuses on developing a low-complexity, data-based method for estimating the State of Charge (SOC) in lithium-ion batteries (LiB). The main challenge it addresses is the computational cost associated with SOC estimation, which limits the use of data-driven approaches on microcontrollers with low computational power. To overcome this, the authors propose an open-circuit voltage (OCV) model based on a third-degree polynomial function with seven coefficients, offering a simple and efficient solution for SOC estimation. Additionally, they introduce a modification using a two-degree polynomial function that adjusts for the remaining useful life (RUL) to improve accuracy. The model is validated on experimental and standard datasets, achieving low error rates (below 0.01885 for the full SOC range and 0.01448 for partial ranges). This indicates that the model can provide reliable SOC estimations with minimal computational overhead.

Recommended citation: Jibhkate, Ujwal N., and Uday B. Mujumdar. "Development of low complexity open circuit voltage model for state of charge estimation with novel curve modification technique." Electrochimica Acta 429 (2022): 140944
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