Yunge Zou | Control Strategy | Best Researcher Award

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Dr. Yunge Zou | Control Strategy | Best Researcher Award

Yunge Zou at Chongqing University, China

Summary:

Yunge Zou is a Ph.D. student at Chongqing University, specializing in hybrid powertrain design and optimization. Recognized under elite talent programs, he has contributed to multiple national-level projects, focusing on improving vehicle efficiency and extending battery life. Zou’s research integrates advanced control strategies with powertrain design, resulting in tangible benefits in vehicle performance and energy management. His innovative methods in hybrid powertrains have been implemented in commercial vehicles, showcasing the practical impact of his research.

Professional Profile:

👩‍🎓Education:

Yunge Zou received his Bachelor of Engineering (B.E.) degree in Automotive Engineering from Chongqing University, China, in 2018. He is currently pursuing his Ph.D. in hybrid powertrain design and optimization at the Vehicle Power System Laboratory, Department of Automotive Engineering, Chongqing University. Zou is recognized under the prestigious Chongqing Excellence Program and the Shapingba Elite Talents Program for 2023-2025.

🏢 Professional Experience:

As a Ph.D. candidate, Yunge Zou has been involved in several key research projects, collaborating with leading industry and academic organizations. His research mainly focuses on the design and optimization of hybrid powertrains and battery degradation in electric vehicles. He has made significant contributions to the development of energy management strategies and has been recognized for his work on improving fuel efficiency, battery life, and vehicle performance. Zou has actively collaborated with industry leaders such as Chang’an New Energy Automobile Technology Co., Ltd. and Chongqing Sokon Industry Group, contributing to breakthroughs in battery degradation technology.

Research Interests:

Yunge Zou’s research interests include hybrid powertrain design, battery degradation, transportation electrification, energy management, and powertrain optimization. His current work addresses battery life optimization, hybrid energy storage systems (HESS), and powertrain control, with a particular focus on reducing battery degradation through innovative design and control methods.

Author Metrics:

Yunge Zou has published research papers in prestigious journals such as the Journal of Power Sources. His work on aging-aware co-optimization of hybrid electric powertrains has gained recognition for its practical applications in the automotive industry. Zou holds multiple patents related to hybrid powertrain systems and has contributed to key advancements in battery degradation optimization.

Top Noted Publication:

  • Design of All-Wheel-Drive Power-Split Hybrid Configuration Schemes Based on Hierarchical Topology Graph Theory
    Authors: Y. Yang, P. Li, H. Pei, Y. Zou
    Journal: Energy
    Volume: 242
    Article ID: 122944
    Year: 2022
    Citations: 13
    This paper presents a design framework for all-wheel-drive power-split hybrid configurations, leveraging hierarchical topology graph theory to optimize performance and efficiency. The proposed method helps improve the structural configuration and energy management of hybrid powertrains.
  • Aging-Aware Co-Optimization of Topology, Parameter, and Control for Multi-Mode Input-and Output-Split Hybrid Electric Powertrains
    Authors: Y. Zou*, Y. Yang, Y. Zhang, C. Liu
    Journal: Journal of Power Sources
    Volume: 624
    Article ID: 235564
    Year: 2024
    Citations: Not yet available (published in 2024)
    This paper introduces a co-optimization approach for hybrid electric powertrains that takes into account aging effects on the battery, optimizing not just the powertrain topology, but also its parameters and control strategies to enhance battery life and vehicle performance.
  • Design of Optimal Control Strategy for Range Extended Electric Vehicles Considering Additional Noise, Vibration, and Harshness Constraints
    Authors: Y. Zhang, Y. Yang, Y. Zou, C. Liu
    Journal: Energy
    Article ID: 133287
    Year: 2024
    Citations: Not yet available (published in 2024)
    This paper addresses the design of an optimal control strategy for range-extended electric vehicles (REEVs), incorporating noise, vibration, and harshness (NVH) constraints. The research aims to improve the driving experience while maintaining energy efficiency and performance.

Conclusion:

Dr. Yunge Zou is a highly promising researcher who stands out in the field of hybrid powertrain design and optimization. His interdisciplinary approach, focus on practical applications, and ability to bridge theory and industry make him a strong candidate for the Best Researcher Award. While there are areas for improvement, such as increasing the citation impact of his recent publications and broadening his industry collaborations, Zou’s contributions to energy management and vehicle performance optimization are significant and show great potential for future advancements in the field of sustainable transportation. His work is not only innovative but also holds real-world implications that can positively impact both the automotive industry and environmental sustainability. Therefore, Dr. Zou is an excellent candidate for this award.