访问量:   最后更新时间:--

汪玉洁

教师姓名:汪玉洁
电子邮箱:
职称:副教授
主要任职:中国自动化学会系统仿真专委会秘书长、中国仿真学会仿真技术应用专委会委员、IEEE Senior Member
毕业院校:图书馆VIP
所属院系:信息科学技术学院
学科:控制科学与工程    
其他联系方式

邮编:

通讯/办公地址:

办公室电话:

移动电话:

邮箱:

专著教材
当前位置: 中文主页 > 专著教材

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)

陈宇, 于蒙, 汪玉洁, 赵坤, 《智能数据服务、安全与应用优化》,人民邮电出版社,2024. (ISBN: 978-7-115-62877-0)

教材:

陈宗海,杨晓宇,汪玉洁编著,《计算机控制工程(第2版)》,图书馆VIP出版社,2021.