Improved State of Charge Estimation for Lithium Ion Batteries using Real-Time Data and Machine Learning Algorithms

Improved State of Charge Estimation for Lithium Ion Batteries using Real-Time Data and Machine Learning Algorithms

The latest research on battery electric vehicles for modern power systems has been conducted by Xie, J. et al. The study provides a comprehensive review of the technological evolutions and integration paradigms in this domain. According to the findings published in Renew. Energy 183, 459–489 (2022), electric vehicles are becoming increasingly relevant in the current energy landscape due to their sustainability and efficiency.

The study delves into the advancements and challenges surrounding battery electric vehicles in modern power systems, shedding light on the evolution of technology and the integration frameworks essential for their seamless operation. It presents a detailed analysis of the current state of battery electric vehicles, highlighting potential areas for improvement and innovation.

The research conducted by Xie, J. et al. serves as a valuable resource for policymakers, industry stakeholders, and researchers working towards a sustainable and efficient future in the energy sector. By addressing critical aspects of battery electric vehicles

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