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Shunli Wang

Shunli WangShunli Wang is a professor and doctoral supervisor, Executive Vice President of Smart Energy Storage Institute, Academic Dean of Electric Power College at Inner Mongolia University of Technology, Academic Member of Beijing Innovation Society, Deputy irector of Energy Storage Technology Center of National Joint Laboratory of Renewable Energy, Deputy General Manager of Daqingshan Laboratory of Inner Mongolia Electric Power Group, Visiting Professor/Doctoral Director of Xi'an Jiaotong Liverpool University, Academician of Russian Academy of Natural Sciences, IETFlow, Academic Leader of the National Electrical Safety and Quality Testing Center, Provincial Qingcheng Tianfu Scientific and Technological Talents, Provincial high-level overseas talents, provincial Class A Tianfu talents, the first batch of academic and technical leaders in China Science and Technology City, and the top 2% of the world's top scientists. His research interests include modeling, state estimation, and safety management for energy storage systems. 56 projects have been undertaken, supported by the National Natural Science Foundation of China and the Provincial Science and Technology Department, et al. 63 intellectual property rights have been approved. 9 monographs have been published by famous publishers of Elsevier and IET, and so on. He has won 9 awards at provincial and ministerial levels, including 3 international gold medals, 17 international conference chairmen, 5 editorial boards of international and domestic Chinese journals, a core technical achievements appraisal reaching an international advanced level, reported by the People's Daily. Read More Read Less

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1.
AI for Status Monitoring of Utility Scale Batteries
International Edition
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2.
Proceedings of 2024 International Conference on Smart Electrical Grid and Renewable Energy (SEGRE 2024)
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Proceedings of 2024 International Conference on Smart Electrical Grid and Renewable Energy (SEGRE 2024)
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4.
Multidimensional Lithium-Ion Battery Status Monitoring
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Modeling and State Estimation of Automotive Lithium-Ion Batteries
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6.
Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis
Publisher: Mdpi AG
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AED262
Binding:
Hardback
Release:
21 Aug 2023
Language:
English
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7.
State Estimation Strategies in Lithium-ion Battery Management Systems
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8.
Battery State Estimation
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AED551
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Release:
27 Jan 2022
Language:
English
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9.
Multidimensional Lithium-Ion Battery Status Monitoring
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10.
Battery System Modeling
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AED635
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Release:
25 Jun 2021
Language:
English
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11.
Advanced Hybrid-based State of Charge Method for Lithium-ion Battery Management
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12.
Smart Safety Management of Energy Storage Batteries
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13.
Online Monitoring and Fault Diagnosis of Novel Power Energy Storage Equipment
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AED374
Binding:
Hardback
Release:
01 Feb 2026
Language:
English
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14.
Fuzzy Filter-Based State of Energy Estimation for Lithium-Ion Batteries
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AED66
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Hardback
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22 Mar 2024
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English
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15.
Modeling and State Estimation of Automotive Lithium-Ion Batteries
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AED208
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16 Jul 2024
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16.
Modeling and State Estimation of Automotive Lithium-Ion Batteries
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AED137
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16 Jul 2024
Language:
English
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17.
Intelligent Lithium-Ion Battery State of Charge (SOC) Estimation Methods
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AED333
Binding:
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Release:
28 Nov 2023
Language:
English
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18.
Neural Network-Based State-of-Charge and State-of-Health Estimation
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AED308
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17 Nov 2023
Language:
English
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19.
Multidimensional Lithium-Ion Battery Status Monitoring
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AED252
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Digital (delivered electronically)
Release:
28 Dec 2022
Language:
English
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