Speakers
Keynote Speakers
Prof. Hui Pang
Xi'an University of Science and Technology
Title: Advanced Battery Management System-Research on State Estimation and Temperature Monitoring Methods under Electrochemical Mechanism Modeling
Report Abstract:
The development of electric vehicles (EVs) is an important way to implement the electrification of transportation in China, which can effectively promote the achievement of energy conservation and emission reduction and double-carbon goals. Power batteries are widely used in power storage systems of EVs because of their low cost and high energy density. In recent years, with the increasing requirements for the safety of EVs, the online detection and evaluation of the operating status and reliability of power batteries has become one of the important challenges in development and application of the energy storage management system of EVs. However, the power battery is a complex nonlinear system, and reasonable modeling and accurate state estimation still face lots of challenges. According to the actual application requirements, this paper takes the power battery as the research object, combining the relevant experimental data and the Multiphysics simulation platform, and carries out the estimation of battery state of charge (SOC) and heat generation rate (HGR) of EVs based on the mechanism reconstruction model.
Prof. Shunli Wang
Southwest University of Science and Technology, China
Title: Intelligent Energy Storage - Battery Performance Testing and State Monitoring in New Energy ＆ Energy Storage System
Report Abstract:
In recent years, intelligent energy storage and battery technology has developed rapidly and matured gradually. The process of battery energy storage and supply is monitored and energy managed by the battery management system for its working status. Lithium batteries have the advantages of high voltage, high capacity, long life cycle, high discharge rate, wide operating temperature and no memory effect, which make them a popular application and research object at present. Inaccurate estimation of the battery state will lead to its operation under unsafe working conditions, which will result in battery fire or even explosion. Therefore, in-depth research on battery performance testing methods and efficient monitoring of battery management system are the basis and guarantee of its safe application. This lecture will start from battery performance testing methods, select typical test data for analysis, and discuss battery condition monitoring strategies based on the team's research progress, so as to contribute to the development of smart energy storage.
Assoc. Prof.Qiushi Cui
Chongqing University
Title: Transform Waveforms Into Signature Vectors for General-Purpose Incipient Fault Detection
Report Abstract:
Power system equipment exhibits special characteristics in the early stages of failure. As more renewable energy sources are integrated into the system, these features are harder to detect. In modern power grids, economic losses and blackouts can be avoided if faults are detected early. For waveform anomalies of a class of equipment, many researchers and power engineers have proposed a series of feature recognition methods. However, traditional methods cannot identify multiple types of early failure (IF) characteristics at the same time. Therefore, we have developed a universal IF detection method that can detect waveform anomalies from many types of devices. To avoid the computational burden of general IF detection methods, we embed anomalous features into a vector and develop a pre-trained model for machine understanding. In the pre-training model, signal "words", "sentences" and "dictionaries" are designed and proposed. By comparing with machine learning classifiers and simple probabilistic language models, the results show superior detection performance.
Title: Operation Control and Applications of the Multilevel Converter-Based Battery Energy Storage System
Report Abstract:
As an important measure to alleviate the time-space contradiction between power generation and consumption, energy storage is an effective way to improve the consumption rate of renewable energy, accelerate the construction of novel power systems, and promote carbon peaking and carbon neutrality goals. The technologies of the conventional single-stage and two-stage grid-side large-capacity battery energy storage systems (BESSs) are relatively mature. However, they are faced with the problems such as large circulating currents among battery clusters and obvious buckets effect within each battery cluster. The multilevel converter-based BESS integrates batteries in a decentralized manner, which can avoid circulating currents among battery clusters through flexible regulation of each energy storage unit, thereby improving the comprehensive efficiency and safety regulation capabilities of the overall system. Combining our latest research progress, this report will first introduce the testing and evaluation technologies of battery performance. Then, intelligent energy management and control methods will be analyzed for the multilevel converter-based BESS. Finally, the applications of multilevel converter-based BESS will be discussed in the power electronics-based power systems so as to contribute to the communication and sharing of research results in the field of battery energy storage.
Ph.D. Xiaolong Wu
Shenzhen science and technology innovation strategic research and technology transfer promotion center
Title: Fault Diagnosis and Health Management of Solid Oxide Fuel Cell Systems
Report Abstract:
Solid oxide fuel cells (SOFCs) represent a highly promising alternative energy source for new energy vehicles, distributed power generation, and military equipment. They offer a multitude of advantages, including high efficiency, low noise, low emissions, and fuel flexibility. This report centers on the high efficiency, extended lifespan, and reliable operation of SOFCs, with a specific focus on the SOFC independent power generation system as the primary research subject. Using natural gas as a more widely available fuel, the study initiates by developing a comprehensive multi-mode mechanism model for the SOFC system, encompassing normal mode, transitional mode, and fault mode scenarios. By integrating insights from extensive system experiments and historical operational data, the research explores performance evaluation and health management strategies for the SOFC system and its critical components. Furthermore, the report delves into the unresolved challenges pertaining to the system-level control of SOFCs, based on the research advancements made by the team, thereby contributing significantly to the progress of solid oxide fuel cells in the realm of new energy.
Prof. Weihao Hu
University of Electronic Science and Technology of China
Title: Artificial Intelligence and its Application in Renewable Energy Systems
Report Abstract:
Recent years, renewable energy is experiencing a rapid growth, large number of renewable energy sources have been installed and connected to power systems. In addition to the large centralized wind farms connected to transmission grids, many distributed wind turbines and PV panels are operated as distributed generators in distribution systems. This presentation discusses several applications of artificial intelligence and optimization in renewable energy systems, including the European and Chinese experiences. Some of our research at Institute of Smart Power and Energy Systems (ISPES), University of Electronics Science and Technology of China (UESTC) will also be introduced.
Senior Engineer Xiangtao Bai
Guolian Automobile Power Battery Research Institute Co.
Title: Fabrication-oriented development and application of sulfide solid-state electrolytes
Report Abstract:
Solid-state batteries have become a hot spot in the new round of global power battery competition, and many governments around the world attach great importance to them. High ionic conductivity solid electrolyte materials are one of the challenges in the development and production of solid-state batteries. Among the three solid electrolyte systems (polymers, sulfides, and oxides) for realizing all-solid-state lithium batteries, sulfide solid electrolytes are the most promising technological direction due to their highest ionic conductivity, better mechanical ductility, and good interfacial contact with electrodes. However, the poor air and electrochemical stability of sulfide solid electrolytes limit their application in high-energy-density all-solid-state lithium batteries. Highly air-stable sulfide solid electrolytes were prepared by means of bulk phase optimization, preparation condition optimization, and material post-processing, and related research was carried out on their application in solid-state batteries. Self-designed the first domestic solid electrolyte tonnage trial production line, and successfully realized sulfide solid electrolyte mass production of 100 kilograms.
Ph.D. Carlos Fernandez
Robert Gordon University
Title: Multi-time Scale State-of-Health Assessment Research of Lithium-ion Batteries
Report Abstract:
With the continuous development of new energy vehicles, large-scale energy storage, special robots, and aerospace equipment, the demand for battery systems continues to increase. Lithium-ion batteries have the advantages of high energy density, low self-discharge rate, and long cycle life in the process of energy storage. They are the main development direction of the new energy industry and an important part of smart grids, energy storage systems, and the energy internet. There are differences between cells in the battery pack system, resulting in significant error accumulation and unreasonable attenuation of cycle life, which has become the main bottleneck restricting the development of lithium-ion battery industrialization. The direct cause of this phenomenon is that some cells are over-charged or over-discharged. The fundamental reason is that the cognition of battery pack characteristics and operation mechanism is imperfect and reliable state estimation and dynamic optimization mechanism has not been formed.
Lizhou Liu
Tsinghua University
Title: Research on Integrated Voltage Balancing Topology for Battery Packs with Secondary Utilization
Report Abstract:
In battery packs utilized in a sequential manner, significant variations exist among individual batteries in terms of capacity, cycle counts, and degree of parameter deterioration. This situation often leads to voltage imbalances, posing substantial challenges to the safe operation of high-capacity secondary utilization energy storage systems. Existing active balancing system circuits are complex and expensive, impeding the widespread application of secondary utilization battery packs. Therefore, to effectively reduce the cost of balancing topologies, this report starts with balancing topologies, introduces the research progress of the team, explains the existing achievements in balancing topologies, and explores the balancing functions based on integrated balancing system characteristics. This effort contributes to the development of battery packs for secondary utilization.
Prof. Qi Huang
Southwest University of Science and Technology
Title: Pathway Towards Decarbonization: Comprehensive Renewable Energy Systems
Report Abstract:
Decarbonization is becoming a higher priority. Energy supply systems play a fundamental role in decarbonization. This talk will discuss the pathway toward decarbonization, in the light of efficient management of comprehensive renewable energy systems. The management, as well as analysis approach of such system will be presented. The feasibility of constructing a carbon-neutral power sector will be systematically explored and evaluated. Certain example of given area will be discussed, by considering the power source potential, power supply characteristics, and advanced technologies.
Prof. Liuping Wang
Fellow of Institute of Engineers Australia
Royal Melbourne Institute of Technology, Australia
Title: Automatic Tuning of PID Control of Renewable Energy Systems
Report Abstract: The fundamental building blocks of the renewable energy control systems are the PID controllers because of their reliability in implementations and easiness to be understood by engineers. For optimal performance of these renewable energy systems, the PID controllers are required to be tuned to achieve closed-loop stability and desired closed-loop response. Due to the aging of the renewable energy systems, many of the existing PID controllers are poorly performed, and need to be re-tuned. The problem to be discussed in this report is how we are going to automatically tune the existing PID controllers in the renewable energy systems with a minimum interruption to process operation. As demonstrative examples, tuning the current control of a grid connected power converter and AC machine is used in the report. The principle of the auto-tuner is applicable to other renewable energy systems.
Prof. Liping Chen
Hefei University of Technology
Title: Modeling and state estimation of Lithium-ion batteries based on fractional calculus
Report Abstract:
State of Charge (SOC) estimation is one of the most basic and core functions in battery management system. The accuracy of SOC values affects the drive performance, battery life and safety performance of electric vehicles. How to accurately characterize the physical dynamic process of lithium batteries and establish a high-precision SOC estimation algorithm is the focus of current research. In recent years, many studies have shown that fractional calculus has great advantages in describing the dynamic characteristics of lithium-ion batteries, and the research on equivalent circuit modeling and state estimation of lithium batteries based on fractional microproduct method has received more attention. This report will introduce the lithium-ion equivalent circuit modeling and charge state estimation method based on fractional calculus theory, and discuss the application of fractional calculus in energy storage system.
Siyu Jin
Title: Degradation Mechanisms of Lithium-Ion Batteries during Pulse Current Charging Processes
Report Abstract:
With the booming development of new energy vehicles, consumer electronics and distributed power grids, there is an urgent need for high energy density energy storage devices to cope with the growing demand for energy storage systems. As market demand increases, lithium-ion batteries are becoming more efficient and affordable. However, in practice, the lifespan of Li-ion batteries is still affected by charging and discharging strategies as well as usage conditions. Lithium inventory loss, active material loss and electrolyte loss are the three main types of battery degradation. The growth of lithium dendrites accelerates side reactions in which lithium ions are consumed in reactions such as irreversible plating and solid electrolyte interface (SEI) film formation, and these lithium ions are no longer available for the embedding process, leading to a decrease in battery capacity. On the other hand, the active material on the negative electrode decreases due to blockage of active site channels by inactivated lithium ions, rupture of electrode particles, or graphite flaking. In addition, transition metal dissolution, structural disorganization, and electrode particle fracture reduce the active quality of the anode. When lithium deposited on the anode interacts with the electrolyte, the electrolyte is consumed, another key source of degradation. Therefore, optimizing the charging and discharging strategy has become an effective way to extend the service life of lithium-ion batteries, and the pulse charging strategy has been widely used in the field of lithium-ion batteries.
Assoc. Prof. Yujie Wang
University of Science and Technology of China
Title: Intelligent Lithium-ion Battery Management and Control: Key Issues and Applications
Report Abstract:
Battery management system (BMS) has gained widespread attention in recent years. This report focuses on the key technologies of BMS, and discusses several frontier issues such as battery modeling, model parameter identification, state estimation, charging optimization, fault diagnosis, and battery management system design. By analyzing the characteristics of multi-scale and multi-physical processes involved, the report comprehensively introduces the technical advantages of high-quality models and data-driven methods, as well as provides an outlook on several issues in future battery management research.