To address the challenges posed by faults in Battery Energy Storage Systems (BESS), the ADAC Lab has developed advanced monitoring and fault detection solutions.
We have developed a comprehensive Battery Incipient Fault Detection and Diagnosis (BIF-DD) Platform, which utilizes real-time monitoring and advanced algorithms for early fault detection and root-cause diagnosis. This platform, implemented on a Raspberry Pi, performs parameter identification to visualize battery fault statuses based on data from a Battery Fault Simulator.
Current Developments:
The platform is continuously evolving with the following enhancements:
Expansion to Multiple Fault Types: The system is being expanded to detect a broader range of faults, enhancing the comprehensiveness of the BIF-DD platform.
Integration with AI and Big Data: We are integrating advanced AI technologies and large-scale models to further improve fault prediction accuracy and system intelligence.
Connection with Power Systems and Microgrids (MGs): The platform will be linked with power systems and microgrids, enabling real-time communication of BESS status for optimized energy dispatch and grid management.
Through these advancements, the BIF-DD platform is poised to provide a robust solution for proactive BESS maintenance, ensuring safe, reliable, and efficient energy storage operations.
Publications:
[1] Ziqi Wang and Mo-Yuen Chow, “Battery Modeling of SEI and Metal Dendrite Growth: A Transmission Line Circuit Framework with Genetic Algorithm-Identified Parameters ,” 2025 IEEE 20th Conference on Industrial Electronics and Applications (ICIEA).(accepted)
[2] Skieler Capezza and Mo-Yuen Chow, “Real-Time SOH Estimation via Online Identification of Temperature and SOC Dependent Electric Circuit Model Parameters,” in IECON 2025- 51st Annual Conference of the IEEE Industrial Electronics Society, 2025.(accepted)
[3] Junya Shao, Mo-Yuen Chow, Zhiping Tan and Huiqin Jin, “Solid Electrolyte Interface Growth Fault Modeling for Battery State of Health Simulation,” 2025 IEEE International Conference on Industrial Technology (ICIT), Wuhan, China, 2025, pp. 1-6, doi: 10.1109/ICIT63637.2025.10965289.
[4] Ziqi Wang, Mo-Yuen Chow, Zhiping Tan and Huiqin Jin, “Modelling of the Solid Electrolyte Interface Growth Using Physics-Based Equivalent Circuit Model,” 2025 IEEE International Conference on Industrial Technology (ICIT), Wuhan, China, 2025, pp. 1-6, doi: 10.1109/ICIT63637.2025.10965250.
The 3rd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)
The 3rd IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) was held in Shanghai City, China from July 26-28, 2023.
The goal of IESES 2023 is to provide an open and inspiring multidisciplinary platform to exchange innovative ideas, solutions, and results in sustainable energy systems. Shanghai has many leading research institutes and companies in the field of energy storage and sustainable energy. Taking this advantage, in addition to regular academic events, IESES 2023 has organized industrial events with keynote speeches, panels, company tours, and also hold a banquet on Shanghai Huangpu River night cruise.
Professor Saifur Rahman, 2023 IEEE President & CEO, was invited to make keynote speech on IoT Sensor Integration in Smart Buildings for Climate Sustainability.
Professor Jun Ni, Dean of Global Institute of Future Technology (GIFT), SJTU, China, was invited to make keynote speech on GIFT’s Sustainable Energy Program and University-Industry Collaboration with CATL .
Smart Collaborative Distributed Energy Management Systems (S-CoDEMS)
In the wake of a natural disaster, such as a hurricane, earthquake, or flood, the immediate aftermath often leaves communities devastated, with their energy infrastructure severely compromised or completely offline. Access to reliable energy sources is crucial for various aspects of disaster relief efforts, from providing power to emergency shelters to ensuring critical infrastructure like hospitals and communication networks remain operational. Consequently, the distributed control technologies have received a lot of interest from academia and industry recently.
In order to overcome the constraints present in existing disaster response approaches, our research lab (ADAC) is committed to developing the Smart Collaborative Distributed Energy Management System (S-CoDEMS) which continuously adapt the distributed energy devices (DER) dispatching in the physical layer and routing in the cyber layer to provide optimal networked Virtual Power Plants (N-VPP) and networked Micro Grids (N-MG) performance under changing operating conditions, employing a scalable system with plug-and-play capabilities and improved resilience against natural and man-made disasters. The S-CoDEMS employs a consensus-driven approach and strongly emphasizes the integration of distributed energy resources into disaster response protocols. The recovery process in the event of a natural disaster is expected to be significantly accelerated by the use of distributed energy resources.
The inaugural workshop of the Yangtze Delta Energy Management Systems Consortium (YD-EMSC), held on August 9-10, 2023, marked a significant milestone in the pursuit of cutting-edge technologies in Energy Management Systems (EMS) for Microgrids and Virtual Power Plants. It was sponsored by UM-SJTU JI and the Shanghai Association of Automation (SAA).
The Yangtze Delta Energy Management Systems Consortium (YD-EMSC) is a collaborative effort comprising five distinguished universities in the Yangtze Delta region: Nanjing University of Posts and Telecommunications (NJUPT), South East University (SEU), Shanghai Jiao Tong University (SJTU), Zhejiang University (ZJU), and Zhejiang University of Technology (ZJUT).
Initiated by Professor Mo-Yuen Chow, an esteemed IEEE Fellow and faculty member at the University of Michigan-Shanghai Jiao Tong University Joint Institute (UM-SJTU JI), in April 2023, YD-EMSC brings together a network of experts dedicated to the advancement of energy management technologies.
At the inaugural workshop, the YD-EMSC highlighted key immediate research projects comprising, developing a Hardware-in-the-Loop (HiL) testbed for consortium theme demonstration and validations, creating a cyber-management-physical simulator and digital twin for the system and developing Smart Collaborative Distributed Energy Management Systems (S-CoDEMS) for disaster relief.
A Vision for a Resilient Energy Future:
YD-EMSC’s mission is to pioneer distributed and collaborative technologies for reconfigurable, reliable, scalable, and resilient energy management systems of evolving networked microgrids, particularly in contexts of disaster relief and emergent dynamic adhoc power systems.
With a total of twenty-eight dedicated faculty members, YD-EMSC is set to make significant strides in the field of energy management systems.
Looking ahead, the next YD-EMSC workshop is scheduled to take place in Nanjing, China, in the spring of 2024
Campus directors:
NJUPT: Yue Dong (岳东) Professor, Dean of Automation/AI college, IEEE Fellow
SEU: Cao Xianghui ( 曹 向 辉 )Professor in Automation department
SJTU: Chow Mo-Yuen (周武元) Professor in JI, Director of ASPS research center in GIFT, IEEE Fellow
ZJU Power Electronics: Ma Hao (⻢皓)Professor in Electrical Engineering department
ZJU Systems and Control: Chen Jiming (陈积明) Professor, Vice-chancellor of ZJUT, IEEE Fellow
ZJUT: Guo Fanghong (郭方洪)Associate Professor, Director of Automation Department
Campus coordinators:
NJUPT: Zhang Huaipin ( 张 怀 品 ) Associate research professor, Institute of Advanced Technology
SEU: Yang Chaoqun (杨超群) Associate research professor, Department of Automation
SJTU: Li Yiyan (李亦言)Assistant professor, College of Smart Energy
ZJU: Deng Ruilong (邓瑞⻰)Research Professor, Dean Assistant of Control Science & Engineering Department
ZJUT: Guo Fanghong (郭方洪)Associate Professor, Director of Automation Department
Intelligent Space (iSpace) is a relatively new concept to effectively use distributed sensors, actuators, robots, computing processors, and information technology over communication networks. iSpace is a large scale Mechatronics System by integrating sensors, actuators, and control algorithms in a communication system using knowledge from various engineering disciplines such as automation, control, hardware and software design, image processing, communication and networking.
Typically, the distributed energy resources (DER) are controlled by the utility distribution management system (DMS) or DER management system (DERMS). If hosted by microgrid, the microgrid energy management system (MG-EMS) will be added between the DMS/DERMS and DERs. This type of top-down hierarchical control chain is heavily constrained by the communication latency, quality, bandwidth, and availability. These systems are not positioned to embrace the DER boom and will be a bottle-neck for undergoing DER integration. The solution to the scalability is decentralization. Current academic and industry efforts are made to push control to the “edge”, namely on on-site DERs. With built-in edge autonomy in DERs, they can seamlessly work together and the system becomes more scalable. Another downside of the conventional centralized control scheme is the lack of resilience against natural and man-made disasters. The typical industry practice for resilience is by adding redundant central controllers. However, this redundancy is expensive yet cannot rapidly restore electric service in parallel. Therefore, the distributed control technologies have attracted significant academic and industry attention in recent years. Our lab has been developing distributed EMS, called Collaborative Distributed Energy Management Systems (CoDEMS), since 2008.
Publications:
[1]Z. Cheng, J. Duan, and M.-Y. Chow, “To Centralize or to Distribute: That Is the Question: A Comparison of Advanced Microgrid Management Systems,” EEE Ind. Electron. Mag., vol. 12, no. 1, pp. 6–24, Mar. 2018, doi: 10.1109/MIE.2018.2789926.
[2]N. Rahbari-Asr, Y. Zhang, and M.-Y. Chow, “Consensus-based distributed scheduling for cooperative operation of distributed energy resources and storage devices in smart grids,” IET Generation, Transmission & Distribution, vol. 10, no. 5, pp. 1268–1277, Apr. 2016, doi: 10.1049/iet-gtd.2015.0159.
[3]Y. Zhang, N. Rahbari-Asr, J. Duan, and M.-Y. Chow, “Day-Ahead Smart Grid Cooperative Distributed Energy Scheduling With Renewable and Storage Integration,” IEEE Trans. Sustain. Energy, vol. 7, no. 4, pp. 1739–1748, Oct. 2016, doi: 10.1109/TSTE.2016.2581167.
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