Erfan Abbasi Shahisaraei | Electric Vehicles | Student Research Paper Award

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Mr. Erfan Abbasi Shahisaraei | Electric Vehicles | Student Research Paper Award

PhD Student | Tarbiat Modares University | Iran

Mr. Erfan Abbasi Shahisaraei is a mechanical engineering researcher with strong expertise in fatigue life analysis, advanced structural design, and composite and architected materials. Professional experience includes research and engineering roles focused on electric vehicle battery pack design, vibration and shock analysis under international standards, reverse engineering of steelmaking equipment, and structural and fatigue analysis of industrial systems using advanced FEA tools. Research interests span fatigue and dynamic behavior of electric vehicle components, lattice and fiber-reinforced composites, fracture mechanics, and optimization-driven structural design. Research skills include finite element modeling, fatigue assessment, multi-body dynamics, numerical optimization, and engineering simulation using industry-standard software and programming tools. Awards and honors reflect consistent academic and research excellence through competitive projects and peer-reviewed publications. Overall, the work demonstrates a strong integration of theory, simulation, and applied engineering for energy and transportation systems.He has achieved 1 document.


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Featured Publication


Numerical Fatigue Life Analysis for Battery Pack of Electric Bus Under Random Vibration


– Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 2025

Wanke cao | Electric Vehicles | Best Paper Award

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Prof. Wanke Cao | Electric Vehicles | Best Paper Award

Director of the Department of In-Vehicle Network Technologies |  Shenzhen Automotive Research Institute (SZART) | China

Prof. Wanke Cao is an established academic and researcher in electric vehicle engineering, with a strong profile spanning summary, professional experience, research interests, research skills, awards and honors, and overall contributions to the field. His professional experience includes long-term academic leadership and research roles in electric vehicle systems, in-vehicle networks, and intelligent automotive technologies, with international research exposure and institutional responsibilities. His research interests focus on networked control of electric vehicles, vehicle dynamics and control, and in-vehicle network technologies. His research skills include modeling and control of vehicle systems, intelligent transportation technologies, embedded and networked automotive systems, and applied engineering research. He has received recognition for sustained research output, academic service, and technical contributions. Overall, his work demonstrates consistent impact on electric vehicle technology development and scholarly advancement. He has acheived 1195 Citations, 69 Documents,16 h-index.

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Top 5 Publications

Bao Xie | Electric Vehicles | Editorial Board Member

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Dr. Bao Xie | Electric Vehicles | Editorial Board Member

lecturer | Hefei University of Technology | China

Dr. Bao Xie is an accomplished researcher and lecturer specializing in Electrical Engineering with a strong academic foundation and extensive experience in renewable energy systems, grid-connected power generation, and inverter stability control. Currently serving as a lecturer and supervisor of master’s candidates at the Hefei University of Technology, he has established a solid reputation in the fields of power electronics, control theory, and grid integration of renewable energy sources. His research primarily focuses on the control and stability of renewable energy grid-connected power systems, addressing challenges related to weak grid conditions, harmonic resonance, and digital control of large-scale photovoltaic (PV) plants. Over the years, Dr. Xie has demonstrated exceptional technical acumen and problem-solving ability, contributing significantly to multiple national and provincial-level research projects, including the Anhui Provincial Natural Science Foundation and the National Key Research and Development Programs. His research skills encompass advanced modeling, control strategy design, resonance analysis, and power conversion optimization, supported by a profound understanding of grid dynamics and inverter interactions. Dr. Xie’s scholarly contributions include over 60 publications in prestigious journals such as IEEE Transactions on Energy Conversion, IET Power Electronics, and International Journal of Electrical Power and Energy Systems, showcasing innovative approaches to improving grid stability and renewable integration. His dedication to academic excellence has earned him recognition as a promising figure in the next generation of electrical engineers, with his work offering impactful insights for sustainable and intelligent energy systems. Through his continuous pursuit of innovation, collaboration, and mentorship, he exemplifies the integration of theory and practical engineering for real-world energy applications. He has achieved 653 Citations, 61 Documents, 15h-index.

Profile:   Scopus

Featured Publications 

  1. Xie, B., Zheng, W., Li, P., Shi, Y., & Su, J. (2025). Stability analysis and admittance reshaping for PQ inverters with different power control methods. International Journal of Electrical Power and Energy Systems.

  2. Xie, B., Zhang, Q., Liu, T., Zhou, L., & Hao, G. (2025). Research on multi-model LQR control strategy for grid-connected inverters under weak grid. Electric Power Systems Research.

  3. Xie, B., Guo, K., Mao, M., Zhou, L., Liu, T., & Zhang, Q. (2025). Optimization of energy storage capacity of village-level microgrid considering the orderly charging of electric vehicles. Sustainable Energy Grids and Networks.

  4. Xie, B., Zhou, L., Liu, T., Zhang, Q., & Hao, G. (2025). Topology and control method of interleaved parallel DC/DC converters with ripple compensation for fuel cell applications. Journal of Power Electronics.

  5. Xie, B., Mao, M., Liu, T., Zhou, L., & Zhang, Q. (2025). State prediction consistency secondary control strategy for microgrids with adaptive virtual impedance. Dianji Yu Kongzhi Xuebao (Electric Machines and Control).

    Dr. Bao Xie’s research advances the stability, efficiency, and intelligence of renewable energy integration within modern power grids. His innovative control strategies for inverters and microgrids foster sustainable energy transitions and resilient smart grid infrastructures. Through interdisciplinary research bridging academia and industry, his work supports global innovation in clean energy technologies and digital power systems.