Prof. Linjing Zhang | Energy | Best Researcher Award

Beijing Jiaotong University | China

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Early Academic Pursuits

Prof. Linjing Zhang began her academic journey with a deep-rooted interest in the intersection of electrical engineering and energy technology. Her early studies laid the groundwork for her current specialization in lithium-ion batteries. Her passion for innovation in energy systems and electric mobility was evident from the start, leading her toward research that supports future-ready, sustainable energy solutions.

Professional Endeavors

Currently serving as an Associate Professor and PhD Supervisor at the School of Electrical Engineering, Beijing Jiaotong University, Prof. Zhang plays a vital role in shaping the next generation of energy engineers. Her academic career reflects a balance between research excellence and teaching commitment, where she actively mentors students and leads cutting-edge projects in energy storage and electric transportation technologies.

Contributions and Research Focus

Prof. Zhang is a prominent researcher in the lithium-ion battery field, with a focus on its application in electric vehicles, rail transit, and large-scale energy storage. Her comprehensive research spans performance testing, kinetic characteristics, electrochemical analysis, and lifespan prediction of battery systems. She also delves into state of health (SOH) estimation, rapid charging technologies, and fault warning mechanisms. This blend of theoretical and applied research makes her a key contributor to the development of safer, smarter, and more durable battery technologies.

Accolades and Recognition

Her scientific rigor has been recognized through five research awards, reflecting her growing reputation in the field of energy storage. She has also published over 50 scientific papers, contributing significantly to academic literature and advancing global understanding of lithium-ion systems. Furthermore, Prof. Zhang serves as a peer reviewer for multiple international journals, underscoring her standing as a trusted voice in scholarly evaluation.

Impact and Influence

Prof. Zhang’s work addresses real-world energy challenges, particularly in the context of sustainable transportation and power systems. By participating in national-level research projects, including one National Natural Science Foundation of China (NSFC) grant and a National Key R&D sub-task, she directly contributes to China’s strategic energy goals. Her research not only supports innovation in electric mobility but also strengthens national infrastructure through reliable battery technologies.

Legacy and Future Contributions

Prof. Linjing Zhang is well-positioned to make lasting contributions to the fields of green energy and electric transport. As battery technologies evolve, her work will be pivotal in guiding safer, more efficient energy systems. Through her leadership in academia and research, she is helping build a future where clean energy drives sustainable development and technological resilience.

Publications

An Adaptable Capacity Estimation Method for Lithium-Ion Batteries Based on a Constructed Open Circuit Voltage Curve
Authors: Linjing Zhang, Xiaoqian Su, Caiping Zhang*, Yubin Wang, Yao Wang, Tao Zhu, Xinyuan Fan
Journal: Batteries
Year: 2025

Graph-Guided Fault Detection for Multi-Type Lithium-Ion Batteries in Realistic Electric Vehicles Optimized by Ensemble Learning
Authors: Caiping Zhang, Shuowei Li, Jingcai Du, Linjing Zhang, Wei Luo, Yan Jiang
Journal: Journal of Energy Chemistry
Year: 2025

Sensorless Battery Expansion Estimation Using Electromechanical Coupled Models and Machine Learning
Authors: Xue Cai, Caiping Zhang, Jue Chen, Zeping Chen, Linjing Zhang, Dirk Uwe Sauer, Weihan Li
Journal: Journal of Energy Chemistry
Year: 2025

Decoding Battery Aging in Fast-Charging Electric Vehicles: An Advanced SOH Estimation Framework Using Real-World Field Data
Authors: Caiping Zhang, Jinyu Wang, Linjing Zhang, Weige Zhang, Tao Zhu, Xiao-Guang Yang, Andrew Cruden
Journal: Energy Storage Materials
Year: 2025

Feature Engineering-Driven Multi-Scale Voltage Anomaly Detection for Lithium-Ion Batteries in Real-World Electric Vehicles
Authors: Shuowei Li, Caiping Zhang, Jingcai Du, Linjing Zhang, Yan Jiang
Journal: Applied Energy
Year: 2025