Publication Profile
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🏫 Employment
Dr. Rongli Sun has been serving at the School of Computer Science and Technology at Chongqing University of Posts and Telecommunications, China 🇨🇳. In this role, he actively contributes to cutting-edge research in Big Data Mining, Neural Networks, and Battery Life Estimation for New Energy Vehicles 🔋🚗. His academic involvement includes both teaching and guiding research projects, fostering innovation in intelligent energy systems 💡. Through his position, Dr. Sun continues to advance sustainable technologies and smart mobility solutions, helping shape the future of eco-friendly transportation and battery diagnostics 🌱🔧
📚 Academic Contributions
Dr. Rongli Sun has made notable contributions to the field of battery health diagnostics through his extensive research and publications 📖. He has authored several peer-reviewed journal articles and international conference papers, demonstrating expertise in data-driven approaches and intelligent algorithms 🔍🧠. His works are featured in high-impact journals like Energy, Journal of Power Sources, and Journal of Energy Storage 📑. Notably, his 2025 article in Energy introduced the BiGRU-Attention model, showcasing advanced deep learning applications in real-world lithium-ion battery State of Health (SOH) estimation 🔋📊. His research supports smarter, more sustainable energy systems 🌱
🔬 Research Focus
Dr. Rongli Sun focuses his research on Big Data Mining and Life Estimation Algorithms for New Energy Vehicles 🚗🔋, addressing critical challenges in energy efficiency and battery longevity. His work primarily centers on the State of Health (SOH) estimation of lithium-ion and lead-acid batteries, aiming to improve predictive maintenance and operational safety ⚙️📊. By leveraging large-scale data and intelligent models, Dr. Sun contributes to the advancement of sustainable energy and smart mobility technologies 🌱🚀. His innovative methods play a key role in enhancing the reliability and performance of electric vehicle power systems worldwide 🌍
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