Dear Colleagues,

The sustainable development of clean energy is a primary national strategy. Under the background of "dual carbon", the control technology of new energy and energy storage system has become essential for promoting new energy and the energy revolution. Lithium-ion batteries have the advantages of high energy density, long cycle life, and low self-discharge rate. It has become an effective way to solve the problem of energy supply reliability to construct a battery system as a core energy storage component.

However, due to the complexity of operating conditions, the randomness of measurement noise, and other complex factors, it is easy to cause problems such as large errors in battery state estimation results and low stability of the prediction process, which makes battery system modeling and safety management become a research hotspot in the field of new energy. Therefore, forming a rapid assessment model of battery performance with intelligent characteristics and studying performance optimization strategies are the core subjects to improve the efficiency and stability of battery systems.

This section focuses on the research of new energy measurement and control research with the collaborative battery state estimation as the core factor, carrying out the exploration and industrial application of the whole life cycle state measurement and control theory. Both experimental and numerical results are welcome in this section.

Section Editors

Prof. Dr. Shunli Wang

Dr. Pushpendra Singh

Dr. Meli Maxim

Prof. Mehran Haji Akhoundzadeh

Prof. Dr. Ahmet Aksoz

Prof. Rajanand Patnaik Narasipuram