Improved state of charge estimation of Lithium-ion battery by enhancing the accuracy of parameter identification in the second-order equivalent circuit model

I am seeking an expert in battery modeling and parameter identification to improve the real-time performance of state of charge (SOC) estimation for Lithium-ion batteries. The project's primary aim is to enhance the accuracy of SOC estimation through refining the parameter identification accuracy within a second-order equivalent circuit model.

Key Requirements:
- Utilize Kalman filter-based methods for parameter identification.
- Significant improvement in the accuracy of SOC estimation.
- Experience with lithium-ion battery modeling and simulation.
- Ability to deliver high-quality work under tight deadlines.

Your expertise in this area is crucial for the project's success. A strong background in battery technology and real-time system performance will be indispensable.