毛玲

教师介绍

个人简介

毛玲，女，副教授，硕士生导师。2014年获上海交通大学博士学位，在国内威廉希尔平台任教。主要研究方向为：锂离子电池建模及状态估计，移动储能的配置及运行，电动汽车与电网的互动及多机器人的通信及协调。近年来在国内外重要学术期刊和国际会议发表论文30余篇，其中SCI/EI 检索20余篇，获授权发明专利8项。主持上海市教委“优秀青年教师培养资助项目”，上海电力大学“引进人才项目”，国家电网科技项目等多项科技公关项目。

主要代表性著作：

[1] Hao Dong , Ling Mao,*  Keqing Qu.State of Health Estimation for Li-ion Batteries using Improved Gaussian Process Regression and Multiple Health Indicators.International. Journal of . Electrochemical science.2022, 17(8):1-12.

[2] Mao, Ling; Hu, Huizhong; Chen, Jiajun; Zhao, Jinbin; Qu, Keqing; Jiang, Lei.Online State-of-Health Estimation Method for Lithium-Ion Battery Based on CEEMDAN for Feature Analysis and RBF Neural Network.IEEE Journal of Emerging and Selected Topics in Power Electronics.2023,11(1):187-200.

[3] Mao, Ling ; Wang, Yubin ;Zhao, Jinbin; Pan, Chao ; Qu, Keqing.Multi-vector predictive direct power control for grid-tied three-level inverters with optimized vector application time calculations.Journal of Power Electronics.2023:23(3):423-433.

[4] Dong, Hao;  Mao, Ling; Qu, Keqing; Zhao, Jinbin; Li, Fen; Jiang, Lei.State of Health Estimation and Remaining Useful Life Estimation for Li-ion Batteries Based on a Hybrid Kernel

Function Relevance Vector Machine.Journal of Electrochemical science.2023, 17(11):1-16.

[5] Jin, Hao;  Mao, Ling; Qu, Keqing; Zhao, Jinbin; Li, Fen; Online Model Identification for State of Charge Estimation for Lithium-ion Batteries with Missing Data.Journal of Electrochemical science.2023, 17(12):1-16.

[6] Ling Mao, Qin Hu, Jinbin Zhao, Xiaofang Yu,State-of-charge of lithium-ion battery based on equivalent circuit model – Relevance vector machine fusion model considering varying ambient temperatures,Measurement. 2023,221:1-13

[7] Mao L, Yang C, Zhao J, et al. Joint State‐of‐Charge and State‐of‐Health Estimation for Lithium‐Ion Batteries Based on Improved Lebesgue Sampling and Division of Aging Stage[J]. Energy Technology, 2023, 11(10): 2300567.

[8] 董浩,毛玲,屈克庆等.基于温度和SOC的锂离子电池特征提取及SOH估计[J].浙江大学学报(工学版),2023,57(07):1470-1478.

[9] 毛玲,温佳林,赵晋斌等.基于集成ELM的锂离子电池充电截止电压下的SOC和SOH联合估计[J].电力系统保护与控制,2023,51(11):86-95.

[10] 毛玲,张钟浩,赵晋斌等.车-桩-网交融技术研究现状及展望[J].电工技术学报,2022,37(24):6357-6371.

[11] Zhu YJ, Chen JJ, Mao L(通讯作者), et al. A noise‐immune model identification method for lithium‐ion battery using two‐swarm cooperative particle swarm optimization algorithm based on adaptive dynamic sliding window[J]. International Journal of Energy Research, 2022, 46( 3):3512-3528.

[12] Miao H, Chen JJ, Mao L(通讯作者), et al. A novel online model parameters identification method with anti‐interference characteristics for lithium‐ion batteries[J]. International Journal of Energy Research, 2021, 45(6): 9502-9517.

[13] Mao L, Xu J, Chen J, et al. A LSTM-STW and GS-LM Fusion Method for Lithium-Ion Battery Rul Prediction Based on EEMD[J]. Energies, 2020, 13(9): 2380.

[14] 毛玲,邓思文,赵登辉,唐立颖,孙欣杰.新能源汽车监测平台在行驶和充电场景中的应用与思考[J].电工技术学报,2022,37(01):48-57.