专著: 

K. Liu, Y. Wang, X. Lai. Data Science-Based Full-Lifespan Management of Lithium-Ion Battery: Manufacturing, Operation and Reutilization. 10 April 2022, Springer Nature. (ISBN: 978-3-031-01340-9) https://doi.org/10.1007/978-3-031-01340-9

S. Wang, Y. Wang, K. Liu, J. Wu, Y. Shang, J. M. Guerrero. Battery State Estimation: Methods and models, Institution of Engineering and Technology (IET), 2021. (ISBN: 978-1-83953-529-1) https://doi.org/10.1049/PBPO212E

S. Wang, K. Liu, Y. Wang, D. Stroe, C. Fernandez, J. M. Guerrero. AI for Status Monitoring of Utility Scale Batteries, Institution of Engineering and Technology (IET), 2022. (ISBN：978-1-83953-738-7) https://doi.org/10.1049/PBPO238E

S. Wang, K. Liu, Y. Wang, D. Stroe, C. Fernandez, J. M. Guerrero. Multidimensional Lithium-Ion Battery Status Monitoring. 2022, CRC Press. (ISBN：978-1-03235-602-0) https://doi.org/10.1201/9781003333791

S. Wang, Y. Wang, D. Deng, C. Fernandez, J. M. Guerrero. Intelligent Lithium-Ion Battery State of Charge (SOC) Estimation Methods. 2023, Cambridge Scholars Publishing. (ISBN：978-1-5275-5308-8)

Q. Huang, S. Wang, Y. Wang, C. Wang, C. Fernandez, J. M. Guerrero. Neural Network-Based State-of-Charge and State-of-Health Estimation. 2023, Cambridge Scholars Publishing. (ISBN：978-1-5275-5217-3)

S. Wang, K. Liu, Y. Wang, D. Stroe, C. Fernandez, J. M. Guerrero et al. State Estimation Strategies in Lithium-ion Battery Management Systems, Renewable Energy | Elsevier, 2022. (ISBN: 978-0-44316-160-5)

教材:

陈宗海，杨晓宇，汪玉洁编著，《计算机控制工程（第2版）》，中国科学技术大学出版社，2021.