Shunli Wang- Prof.Dr.
- Professor at Inner Mongolia University of Technology
Shunli Wang
- Prof.Dr.
- Professor at Inner Mongolia University of Technology
Academic Dean; Academician; IET Fellow; Top 2% Worldwide Scientist
About
6,793
Publications
351,961
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
6,793
Citations
Introduction
Prof. Shunli Wang is a Doctoral Supervisor, Academic Dean, Academic Leader of the National Electrical Safety and Quality Testing Center, Academician of the Russian Academy of Natural Sciences, Provincial Senior Overseas Talent, Academic and Technical Leader of China Science and Technology City, and top 2% of top scientists in the world, who is an authoritative expert in renewable energy research. His interests include modeling, state estimation, and safety management for energy storage systems.
Current institution
Additional affiliations
July 2012 - present
Smart Energy Storage Institute
Position
- Professor
Description
- Battery System Modeling
January 2020 - January 2021
Position
- PostDoc Position
Description
- The energy storage and energy consumption theory in a wide temperature range will be studied in this project for the high-power lithium-ion batteries.
Publications
Publications (6,793)
# Weekly meeting Meeting time: 16:00 May 17 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/c7iMbNhEzsxd Meeting number: 126 622 441 Please write down your research progress this week and your plan for next week in the table. Members of the ministerial organizations are requested to attend the meeting on t...
Accurate estimation of the state of charge (SOC) and state of health (SOH) is critical for ensuring the safe and efficient operation of lithium-ion batteries (LIBs), particularly in electric vehicles (EVs) and energy storage systems (ESSs). Due to the strong coupling between SOC and SOH, their joint estimation has emerged as a promising strategy to...
Report topic: State of Health Estimation Method for Lithium-ion Batteries Based on the Multilayer -Kernel Extreme Learning Machine with Feature-Weighted Fusion Reporter: Sheng Li Report time: 21:00-21:10 May 15 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/w5p2emIctz37 Meeting number: 785 8831 5750 Membe...
Report topic: Optimized MVFFRLS-BSSRCKF Framework for Robust Lithium-Ion Battery SOE Estimation with Microwave-Enhanced Dynamic Parameter Identification Reporter: Beining Hu Report time: 21:00-21:10 May 15 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/w5p2emIctz37 Meeting number: 785 8831 5750 Members of...
Report topic: SOH Estimation Method for Lithium-Ion Batteries Based on an Improved Equivalent Circuit Model via Electrochemical Impedance Spectroscopy Reporter: Yuan Wang Report time: 21:00-21:10 May 14 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/w5p2emIctz37 Meeting number: 785 8831 5750 Members of th...
Report topic: An improved particle swarm optimization - forgetting factor least square modeling method for dynamic parameter identification of lithium-ion batteries in large-scale power stations Reporter: Zhengqing Gao Report time: 21:00-21:10 May 13 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/w5p2emIc...
Report topic: An improved dual coefficient traction - unscented Kalman filtering method for high-precision battery state of charge estimation in power stations
Reporter: Xinyu Yan Report time: 21:00-21:10 May 12 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/w5p2emIctz37 Meeting number: 785 8831 5750 Memb...
Teacher Wang, this is the first draft of my review paper on improving the accuracy of SOH estimation of lithium-ion batteries by using the GA-BP neural network to improve the BP neural network. Please point out the deficiencies and the parts that need to be revised.
# Weekly meeting Meeting time: 16:00 May 10, 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/PMq55FW1fVw4 Meeting number: 737 691 674 Please write down your research progress this week and your plan for next week in the table. Members of the ministerial organizations are requested to attend the meeting on...
Report topic: An Improved Covariance Matrix Adaptation - Knee Arrhenius Method for Numerical State of Safety Quantification and Prediction of Lithium-ion Batteries Considering Aging and Capacity Fading Effects Reporter: Kuo Yang Report time: 21:00-21:10 May 09 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/d...
Accurately estimating lithium-ion batteries' State of Charge (SOC) and Open Circuit Voltage (OCV) is vital for efficient energy storage system management, especially in electric vehicles. Temperature fluctuations pose a significant challenge to precise SOC estimation. This paper presents a novel method that combines Linear Polynomial Regression (LP...
Report topic: Realization of Unscented Kalman Filter for Real-Time State of Charge Estimation of Lithium-ion Batteries across Wide Temperature Ranges Reporter: Jiakang Zhou Report time: 21:00-21:10 May 08 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/QoEkaEHVrZXc Meeting number: 790 9844 0781 Members of...
Report topic: Research on the State - of - Charge Testing of Lithium - ion Batteries in a Wide Temperature Range Based on the Improved Unscented Kalman
Filter Algorithm Reporter: Yang Wang Report time: 21:00-21:10 May 07 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/QoEkaEHVrZXc Meeting number: 790 9844...
Dear Professor Wang, this is a review I've completed on improving the accuracy of the SP model in estimating the SOH of lithium-ion batteries using the GA-SP algorithm. I sincerely hope you can review it and give me your suggestions for improvement. Thank you very much!
Report topic: Joint multiple time-scale battery charge and health state estimation with improved adaptive forgetting factor-dual adaptive Kalman filtering for smart grid energy stations Reporter: Wenxia Zhang Report time: 21:00-21:10 May 06 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/QoEkaEHVrZXc Meeti...
Report topic: An improved square root untraced Kalman filtering with asynchronous learning factor particle swarm optimization algorithm for state of charge estimation of Lithium-ion Batteries Reporter: Quan Dang Report time: 21:00-21:10 May 05 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/QoEkaEHVrZXc Me...
# Weekly meeting Meeting time: 16:00 May 03 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/zyMsenwiiZyo Meeting number: 825 668 713 Please write down your research progress this week and your plan for next week in the table. Members of the ministerial organizations are requested to attend the meeting on t...
Accurate state of charge (SOC) estimation is a crucial function of the battery management system to optimize the longevity, safety, and performance of lithium-ion batteries. However, the conventional extended Kalman filter (EKF) method suffers from significant SOC estimation errors due to model inaccuracies under dynamic working conditions and temp...
Report topic: Estimation of Lithium-ion Battery State of Health Based on Multi-kernel Extreme Learning Machine with Dimensionality Reduction of Multi-dimensional Features Reporter: Daijiang Mo Report time: 21:00-21:10 May 02 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/QzuUc9SG3Rsj Meeting number: 817 2...
Conduct research on different parameter models and identification methods of lithium batteries.
Report topic: An Optimized Statistical Regression-Long Short Term Memory Method for Joint State of Charge and State of Power Estimation of Lithium-ion Batteries Adaptive to Temperatures Reporter: Lei Zhou Report time: 21:00-21:10 Apr 30 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/QzuUc9SG3RsjMeeting nu...
Report topic: An improved particle swarm optimization-cubature Kalman particle filtering method for state-of-charge estimation of large-scale energy storage lithium-ion batteries Reporter: Runxi Lin Report time: 21:00-21:10 Apr 29 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/QzuUc9SG3RsjMeeting number:...
Conduct research on different parameter models and identification methods of lithium batteries.
Conduct research on different parameter models and identification methods of lithium batteries.
Report topic: High-precision Lithium-ion Battery SOC and SOE Joint Estimation Based on Improved Particle Swarm Optimization - Adaptive Dual Extended Kalman Filtering with Mutation Control Function Correction Reporter: Yingyang Wu Report time: 21:00-21:10 Apr 28 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/...
Due to the strong nonlinear characteristics of multi-state coupling of physical fields such as different charge states and discharge rates in lithium-ion batteries, it poses a great challenge for the parameter identification of the model and the estimation of the state of charge (SOC). The battery coupling characteristics are analyzed, and a couple...
The accurate estimation of the state of charge (SOC) of lithium-ion batteries is crucial for real-time monitoring and safety control. This paper proposes a novel method for estimating SOC by optimizing the kernel extreme learning machine (KELM) with a radial basis function (RBF) kernel using an enhanced pelican optimization algorithm (POA), termed...
With the reduction of carbon emissions in the global energy sector, the development and utilization of energy storage systems in new power systems have become an important component of the future energy field, among which lithium-ion batteries are an important part of the energy storage system.The article deeply analyzes the working principle and c...
# Weekly meeting Meeting time: 16:00 Apr 26, 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/P9IlU5OumroI Meeting number: 499 995 087 Please write down your research progress this week and your plan for next week in the table. Members of the ministerial organizations are requested to attend the meeting on...
Report topic: A Hybrid Long Short-Term Memory Approach with Monte Carlo Dropout and Unscented Kalman Filter for State of Charge Estimation in Lithium-Ion Batteries Under HPPC working Conditions Reporter: Bourkache Faryal Report time: 21:00-21:10 Apr 25 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/5Zzdrp...
Report topic: Real-Time Battery State-of-Charge Estimation with Improved Asymptotic Memory Recursive Least Square modeling for Hybrid Energy Storage Power Stations Reporter: Chao Ma Report time: 21:00-21:10 Apr 24 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/5ZzdrpE2wKTn Meeting number: 921 6067 9799 Me...
Report topic: An improved long short-term memory-dynamic adaptive extended Kalman filtering method for high-precision state of charge estimation of lithium-ion batteries Reporter: Tofik Seid Report time: 21:00-21:10 Apr 23 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/5ZzdrpE2wKTn Meeting number: 921 606...
Report topic: A two-layer full data-driven model for state of health estimation of lithium-ion batteries based on MKRVM-ELM hybrid algorithm with ant-lion optimization Reporter: JiaHao Chai Report time: 21:00-21:10 Apr 22 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/5ZzdrpE2wKTn Meeting number: 921 6067...
Report topic: Joint Estimation of State of Charge and State of Health for Lithium-ion Batteries Utilizing a Bi-LSTM Model with Bayesian Optimization Reporter: Liya Zhang Report time: 21:00-21:10 Apr 21 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/5ZzdrpE2wKTn Meeting number: 921 6067 9799 Members of the...
# Weekly meeting Meeting time: 16:00 Apr 12 2025 (Beijing time) Venue: Tencent conference Meeting link: https://meeting.tencent.com/dm/n4Si3Ts5xS9l Meeting number: 242 823 736 Please write down your research progress this week and your plan for next week in the table. Members of the ministerial organizations are requested to attend the meeting on t...
Accurately estimating lithium-ion batteries' State of Charge (SOC) and Open Circuit Voltage (OCV) is vital for efficient energy storage system management, especially in electric vehicles. Temperature fluctuations pose a significant challenge to precise SOC estimation. This paper presents a novel method that combines Linear Polynomial Regression (LP...
Preliminary draft of a review on data-driven health status assessment of lithium-ion batteries.
Questions
Questions (4)
What shared life cycle battery performance test data sets are available?
Should there be a space between numbers and units in English expression?
Please provide valid judgment basis.
Dear related researchers,
As can be obtained from the experimental results, there is a strange variation for the charging capacity in the long-life-cycle BBDST test.
Maybe you can provide some suggestions about it. Thanks a lot in advance.
Best wishes.
/Shunli
Is it suitable to predict the battery remaining useful life using the deep learning algorithm?
