Assoc. Prof. Dr. Qi Zhang | Mathematical Modeling | Best Researcher Award

Senior Researcher at Shandong University, China

Dr. Qi Zhang 👨‍🔬, an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University 🇨🇳, is a leading expert in electric vehicles 🚗, lithium-ion batteries 🔋, and power battery management. With a strong focus on energy optimization and modeling, he has contributed extensively to top-tier journals as an Editor-in-Chief, Guest Editor, and reviewer ✍️. A respected member of IEEE and several national academic committees 🏅, Dr. Zhang has organized and chaired major international conferences, shaping the future of clean energy and smart mobility 🌍. His active involvement in editorial boards and special issues demonstrates his influence in advancing electrochemical energy research ⚡. A passionate academic, Dr. Zhang combines innovation, collaboration, and impact, making him a recognized name in sustainable technology and battery systems research. 📘🔬

Professional Profile 

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🎓 Education

Dr. Qi Zhang pursued his academic journey in engineering with a strong foundation in control science and power systems ⚙️. His higher education equipped him with advanced knowledge in battery management systems, lithium-ion technology, and electrical vehicle engineering 🔋🚗. With a keen interest in applied research, he specialized in battery modeling and system optimization, aligning his studies with pressing global energy challenges 🌱. His academic background laid the groundwork for his impactful research in energy storage and control systems, supported by hands-on experimentation and computational modeling 📚💡. Dr. Zhang’s education has not only shaped his technical abilities but also nurtured his analytical mindset, fostering a deep commitment to innovation, sustainable mobility, and academic excellence 📖🏅.

💼 Professional Experience

Dr. Qi Zhang is an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University 🇨🇳. With years of dedicated service, he has established himself as a key contributor in electric vehicle technologies and battery systems 🔌🚘. He has taken on multiple leadership roles including Editor-in-Chief, Guest Editor, and Session Chair at international conferences such as ICIEA and NESD 📊🌐. His professional affiliations include IEEE, AEIC, and Chinese Electrotechnical Society, reflecting his deep integration into global research networks 🤝. Dr. Zhang’s work spans across research, academic mentorship, and peer review, demonstrating a balanced blend of theory and real-world application. His industry collaborations and research leadership showcase a career marked by innovation, reliability, and technical excellence 📈🔍.

🔬 Research Interests

Dr. Zhang’s research is centered on electric vehicles, lithium-ion batteries, and power battery modeling and management systems 🚗🔋. His work focuses on enhancing the efficiency, safety, and performance of energy storage and electric mobility systems through smart algorithms and control strategies 🤖📡. He investigates battery thermal dynamics, charging protocols, and electrochemical modeling to improve reliability and longevity of EV systems ⏱️⚡. Additionally, his interest in fractional-order systems and data-driven approaches positions him at the forefront of next-gen battery technology. Dr. Zhang’s interdisciplinary focus bridges the gap between control science, energy sustainability, and intelligent transport systems 🛣️🌍. His research contributes significantly to the green energy transition, paving the way for smarter and more sustainable mobility solutions 🌱🧠.

🏅 Awards and Honors

Dr. Qi Zhang’s dedication to academic excellence has earned him numerous accolades 🌟. Recognized as an Outstanding Reviewer by top-tier journals like ISA Transactions and Electrical Engineering, he has demonstrated rigorous scholarly commitment and peer evaluation integrity 🧾🔍. His editorial leadership in special issues of Symmetry, Energies, Electrochem, and Electronics underlines his recognition as a thought leader in battery research and energy systems 🔋📘. In addition, his roles in professional societies, including IEEE membership and his inclusion in academic committees across Asia and Singapore 🇸🇬, affirm his influential standing. These honors reflect his consistent impact on the field and his dedication to collaborative progress in clean energy and vehicle electrification ⚡🚗.

🛠️ Research Skills

Dr. Zhang exhibits a diverse and sophisticated research skillset encompassing battery modeling, control system design, thermal analysis, and intelligent battery management 🧠💻. His proficiency in computational tools and system simulations allows him to address complex engineering challenges with precision. He is adept at leading multidisciplinary projects, organizing special issues, and reviewing for globally reputed journals, showcasing his editorial and analytical acumen 📈📝. Additionally, his technical expertise extends to data analysis, algorithm design, and hybrid energy systems, enabling impactful contributions in sustainable technology. With strong communication skills, project coordination capabilities, and collaborative leadership, Dr. Zhang bridges theory and application seamlessly. His combination of technical depth and academic influence positions him as a forward-thinking researcher and innovator 🌐🔬.

Publications Top Note 📝

• Title: A novel fractional variable-order equivalent circuit model and parameter identification of electric vehicle Li-ion batteries
  Authors: Q. Zhang, Y. Shang, Y. Li, N. Cui, B. Duan, C. Zhang
  Year: 2020
  Citations: 138
  Source: ISA Transactions, Vol. 97, pp. 448–457

• Title: Remaining useful life prediction of lithium‐ion battery based on extended Kalman particle filter
  Authors: B. Duan, Q. Zhang, F. Geng, C. Zhang
  Year: 2020
  Citations: 124
  Source: International Journal of Energy Research, Vol. 44(3), pp. 1724–1734

• Title: Co-estimation of model parameters and state-of-charge for lithium-ion batteries with recursive restricted total least squares and unscented Kalman filter
  Authors: R. Zhu, B. Duan, J. Zhang, Q. Zhang, C. Zhang
  Year: 2020
  Citations: 109
  Source: Applied Energy, Vol. 277, Article 115494

• Title: A sine-wave heating circuit for automotive battery self-heating at subzero temperatures
  Authors: Y. Shang, K. Liu, N. Cui, Q. Zhang, C. Zhang
  Year: 2019
  Citations: 95
  Source: IEEE Transactions on Industrial Informatics, Vol. 16(5), pp. 3355–3365

• Title: Multicell-to-Multicell Equalizers Based on Matrix and Half-Bridge LC Converters for Series-Connected Battery Strings
  Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, Z. Zhou, C. Zhang
  Year: 2019
  Citations: 90
  Source: IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 8(2)

• Title: A cell-to-cell equalizer based on three-resonant-state switched-capacitor converters for series-connected battery strings
  Authors: Y. Shang, Q. Zhang, N. Cui, C. Zhang
  Year: 2017
  Citations: 84
  Source: Energies, Vol. 10(2), Article 206

• Title: An optimized mesh-structured switched-capacitor equalizer for lithium-ion battery strings
  Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, C. Zhang
  Year: 2018
  Citations: 79
  Source: IEEE Transactions on Transportation Electrification, Vol. 5(1), pp. 252–261

• Title: Modeling and analysis of high-frequency alternating-current heating for lithium-ion batteries under low-temperature operations
  Authors: Y. Shang, C. Zhu, G. Lu, Q. Zhang, N. Cui, C. Zhang
  Year: 2020
  Citations: 76
  Source: Journal of Power Sources, Vol. 450, Article 227435

• Title: Robust current control-based generalized predictive control with sliding mode disturbance compensation for PMSM drives
  Authors: X. Liu, C. Zhang, K. Li, Q. Zhang
  Year: 2017
  Citations: 72
  Source: ISA Transactions, Vol. 71, pp. 542–552

• Title: Fractional calculus based modeling of open circuit voltage of lithium-ion batteries for electric vehicles
  Authors: Q. Zhang, N. Cui, Y. Li, B. Duan, C. Zhang
  Year: 2020
  Citations: 62
  Source: Journal of Energy Storage, Vol. 27, Article 100945

• Title: An adaptive battery capacity estimation method suitable for random charging voltage range in electric vehicles
  Authors: C. Zhang, Y. Kang, B. Duan, Z. Zhou, Q. Zhang, Y. Shang, A. Chen
  Year: 2021
  Citations: 55
  Source: IEEE Transactions on Industrial Electronics, Vol. 69(9), pp. 9121–9132

• Title: Fractional-order modeling of lithium-ion batteries using additive noise assisted modeling and correlative information criterion
  Authors: M. Yu, Y. Li, I. Podlubny, F. Gong, Y. Sun, Q. Zhang, Y. Shang, B. Duan
  Year: 2020
  Citations: 52
  Source: Journal of Advanced Research, Vol. 25, pp. 49–56

• Title: Optimal planning of electric vehicle charging stations considering user satisfaction and charging convenience
  Authors: D. Xu, W. Pei, Q. Zhang
  Year: 2022
  Citations: 43
  Source: Energies, Vol. 15(14), Article 5027

• Title: A neural network fuzzy energy management strategy for hybrid electric vehicles based on driving cycle recognition
  Authors: Q. Zhang, X. Fu
  Year: 2020
  Citations: 42
  Source: Applied Sciences, Vol. 10(2), Article 696

• Title: Parameter matching optimization of a powertrain system of hybrid electric vehicles based on multi-objective optimization
  Authors: X. Fu, Q. Zhang, J. Tang, C. Wang
  Year: 2019
  Citations: 32
  Source: Electronics, Vol. 8(8), Article 875

• Title: Variable fractional order—A comprehensive evaluation indicator of lithium-ion batteries
  Authors: Y. Sun, Y. Li, M. Yu, Z. Zhou, Q. Zhang, B. Duan, Y. Shang, C. Zhang
  Year: 2020
  Citations: 31
  Source: Journal of Power Sources, Vol. 448, Article 227411

• Title: Practical State of Health Estimation for LiFePO4 Batteries Based on Gaussian Mixture Regression and Incremental Capacity Analysis
  Authors: Z. Zhou, B. Duan, Y. Kang, Y. Shang, Q. Zhang, C. Zhang
  Year: 2022
  Citations: 30
  Source: IEEE Transactions on Industrial Electronics, Vol. 70(3), pp. 2576–2585

🏁 Conclusion

In conclusion, Dr. Qi Zhang is a distinguished scholar and researcher in the field of electric mobility and battery management 🌟. His expertise spans critical areas of lithium-ion battery systems, energy efficiency, and sustainable vehicle technology 🚗⚡. With a robust academic background, impactful editorial and professional roles, and a well-rounded skillset, he demonstrates all the qualities of a global research leader. His work not only advances scientific understanding but also contributes to the development of clean and intelligent transport solutions 🌍🛠️. Through consistent contributions to international journals, conferences, and collaborative networks, Dr. Zhang remains a key figure driving innovation in energy systems. He is exceptionally well-positioned for recognition such as the Best Researcher Award for his dedication, vision, and impact 🏅.