Imperial College London

Dr Haijun Ruan (阮海军)

Faculty of EngineeringDyson School of Design Engineering

Research Associate







Dyson BuildingSouth Kensington Campus





Dr. Haijun Ruan joined the Dyson School of Design Engineering as a Research Associate in 2020. He works with Dr. Billy Wu, Dr. Gregory Offer, and Dr. Huizhi Wang on multiple research projects at Electrochemical Science & Engineering (ESE) group at Imperial College London.

He obtained the PhD (2019) and Bachelor (2014) degrees in electrical engineering at Beijing Jiaotong University, China. During his PhD period, he was a visiting student researcher with Purdue University, West Lafayette, USA, in 2018. His PhD research activities mainly focused on the modeling, low-temperature heating, and charging for lithium-ion batteries in electric vehicles and energy storage systems. He was a research fellow with the University of Southampton in early 2020. Before coming to UK, he got Merit Student of Beijing (2014), National Scholarship (2013, 2014, 2016, and 2018), and Zhixing scholarship (top scholarship for postgraduate students in Beijing Jiaotong University, 2019).

His current research focuses on lithium-ion battery modeling, and machine learning-based degradation diagnostics and lifetime prediction.



Ruan H, Sun B, Cruden A, et al., 2022, Optimal external heating resistance enabling rapid compound self-heating for lithium-ion batteries at low temperatures, Applied Thermal Engineering, Vol:200, ISSN:1359-4311

Ruan H, Sun B, Jiang J, et al., 2021, A modified-electrochemical impedance spectroscopy-based multi-time-scale fractional-order model for lithium-ion batteries, Electrochimica Acta, Vol:394, ISSN:0013-4686

Zhu T, Wills RGA, Lot R, et al., 2021, Adaptive energy management of a battery-supercapacitor energy storage system for electric vehicles based on flexible perception and neural network fitting, Applied Energy, Vol:292, ISSN:0306-2619

Ruan H, Sun B, Zhu T, et al., 2021, Compound self-heating strategies and multi-objective optimization for lithium-ion batteries at low temperature, Applied Thermal Engineering, Vol:186, ISSN:1359-4311, Pages:1-14

Ruan H, Sun B, Zhang W, et al., 2021, Quantitative analysis of performance decrease and fast-charging limitation for lithium-ion batteries at low temperature based on the electrochemical model, Ieee Transactions on Intelligent Transportation Systems, Vol:22, ISSN:1524-9050, Pages:640-650

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