于春梅教授介绍
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个人简历：（包括教育情况、工作经历）
于春梅，女，江苏如皋人，1970年生，西北工业大学博士，西南科技大学教授。主要研究方向为系统辨识、状态估计、故障诊断、模式识别等。承担“自动控制理论”、“现代控制理论”、“系统辨识与建模”等本科和研究生课程的教学工作。已培养硕士毕业生20余人，目前在读12人，获学校优秀毕业论文奖励1人。参与2项国家自然科学基金项目，2项省级项目，多项横向项目。近五年发表论文30余篇，其中SCI收录8篇，主编、副主编专著2部。
论文著作
1. 熊然、王顺利、Fernandez Carlos、于春梅、范永存、曹文、蒋聪.A Novel Joint Estimation Method of State of Charge and State of Health Based on the Strong Tracking-Dual Adaptive Extended Kalman Filter Algorithm for the Electric Vehicle Lithium-Ion Batteries, INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE,2021.11
2. 王顺利、范永存、于春梅、金思宇、Fernandez Carlos、Stroe Daniel-Ioan .Improved covariance matching—electrical equivalent modeling for accurate internal state characterization of packing lithium‐ion batteries, International Journal of Energy Research,2021.11
3. 乔家璐、王顺利、于春梅、史卫豪、杨潇.基于加权多新息AEKF的锂电池SOC在线估算，储能科学与技术，2021.7
4. 乔家璐、王顺利、于春梅、史卫豪、Fernandez Carlos .A novel bias compensation recursive least square-multiple weighted dual extended Kalman filtering method for accurate state-of-charge and state-of-health co-estimation of lithium-ion batteries, INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 2021.8
5. 何明芳、王顺利、Fernandez Carlos、于春梅、 李小霞、 Bobobee Etse Dablu. A Novel Adaptive Particle Swarm Optimization Algorithm Based High Precision Parameter Identification and State Estimation of Lithium-Ion Battery,International Journal of Electrochemical Science,2021.5.
6 李博文、王顺利、Fernandez Carlos、于春梅、史卫豪、范永存A Linear Recursive State of Power Estimation for Fusion Model Component Analysis with Constant Sampling Time. INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE,2021.10
7. 李博文、王顺利、 Fernandez Carlos、于春梅、夏黎黎、范永存. A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations. JOURNAL OF ENERGY STORAGE.2021.8.
8. 谢滟馨、王顺利、 Carlos Fernandez、于春梅、范永存、曹文、陈先培.A Novel High Fidelity Unscented Particle Filtering Method forthe Accurate State of ChargeEstimation of Lithium-Ion Batteries. International Journal of Electrochemical Science. 2021.7.
9. 杨潇、王顺利、徐文华、于春梅、乔家璐、黄俊涵.. 基于LM-RLS和渐消因子EKF算法的锂电池SOC估计, 控制工程,2021.6
10. 余鹏、王顺利、于春梅、蒋聪、史卫豪.An adaptive fractional-order extended Kalman filtering for state of charge estimation of high-capacity lithium-ion battery. INTERNATIONAL JOURNAL OF ENERGY RESEARCH,2021.11.
11 夏黎黎、王顺利、于春梅、蒋聪、范永存、曹文. A Novel Prior Noise Correction - Adaptive Extended Kalman Filtering Method for the Full Parameter and State-of-energy co-estimation of the Lithium-ion Batteries. International Journal of Electrochemical Science,2021.5.
12. 熊然、王顺利、于春梅、夏黎黎. 基于Thevenin模型和改进扩展卡尔曼的特种机器人锂离子电池SOC估算方法, 储能科学与技术,2021.3
13.刘冬雷,范永存,王顺利,等. 基于RFMRA和改进PNGV模型的锂离子电池SOC估算[J]. 电池,2021,51(5):470-473. DOI:10.19535/j.1001-1579.2021.05.008
14.李博文,王顺利,于春梅,李建超,谢伟.在线参数辨识和扩展卡尔曼算法的锂离子电池SOC估算研究[J].自动化仪表,2020,41(03):41-46+52.
15.何明芳,王顺利,于春梅,蒋聪,王露.基于改进PNGV建模的锂电池SOC估算研究[J].自动化仪表,2020,41(06):46-51.
16.夏黎黎,王顺利,于春梅,李建超,谢伟.基于AEKF算法的三元锂电池SOC估算方法研究[J/OL].控制工程:1-7[2020-12-14].https://doi.org/10.14107/j.cnki.kzgc.20190586. 2021,28（4）：730-735
17.余鹏,王顺利,于春梅.基于自适应分数阶扩展卡尔曼的锂电池SOC估算[J/OL].储能科学与技术:1-7[2020-12-14].https://doi.org/10.19799/j.cnki.2095-4239.2020.0217.
18.史卫豪,王顺利,于春梅,李建超,谢伟.无人机锂电池电路等效和荷电状态智能计算估计[J].自动化仪表,2020,41(05):65-70.
19.徐文华,王顺利,于春梅,李建超,谢伟.基于Thevenin模型和UKF的锂电池SOC估算方法研究[J].自动化仪表,2020,41(05):31-36.
20.李博文,王顺利,于春梅,李建超,谢伟.在线参数辨识和扩展卡尔曼算法的锂离子电池SOC估算研究[J].自动化仪表,2020,41(03):41-46+52.
21.Wang Shunli; Fernandez Carlos; Cao Wen; Zou Chuanyun; Yu Chunmei; Li Xiaoxia; An adaptive working state iterative calculation method of the power battery by using the improved Kalman filtering algorithm and considering the relaxation effect. Journal of Power Sources, 2019; 428: 67-75.
22.Wang Shunli; Fernandez Carlos; Zou Chuanyun; Yu Chunmei*; Chen Lei; Zhang Li; A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction, Energy, 2019, 171 (15): 444-455.
23.Wang Shunli; Fernandez Carlos; Zou Chuanyun; Yu Chunmei*; Li Xiaoxia; Pei Shijie; Xie Wei; Open circuit voltage and state of charge relationship functional optimization for the working state monitoring of the aerial lithium-ion battery pack. Journal of Cleaner Production, 2018,198: 1090-1104.
24.Wang Shunli; Yu Chunmei*; Fernandez Carlos; Chen Mingjie; Li Guilin; Liu Xiaohan; Adaptive State-of-Charge Estimation Method for an Aeronautical Lithium-ion Battery Pack Based on a Reduced Particle-unscented Kalman Filter, Journal of Power Electronics, 2018, 18 (4): 1127-1139.
2. 王顺利、范永存、于春梅、金思宇、Fernandez Carlos、Stroe Daniel-Ioan .Improved covariance matching—electrical equivalent modeling for accurate internal state characterization of packing lithium‐ion batteries, International Journal of Energy Research,2021.11
3. 乔家璐、王顺利、于春梅、史卫豪、杨潇.基于加权多新息AEKF的锂电池SOC在线估算，储能科学与技术，2021.7
4. 乔家璐、王顺利、于春梅、史卫豪、Fernandez Carlos .A novel bias compensation recursive least square-multiple weighted dual extended Kalman filtering method for accurate state-of-charge and state-of-health co-estimation of lithium-ion batteries, INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 2021.8
5. 何明芳、王顺利、Fernandez Carlos、于春梅、 李小霞、 Bobobee Etse Dablu. A Novel Adaptive Particle Swarm Optimization Algorithm Based High Precision Parameter Identification and State Estimation of Lithium-Ion Battery,International Journal of Electrochemical Science,2021.5.
6 李博文、王顺利、Fernandez Carlos、于春梅、史卫豪、范永存A Linear Recursive State of Power Estimation for Fusion Model Component Analysis with Constant Sampling Time. INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE,2021.10
7. 李博文、王顺利、 Fernandez Carlos、于春梅、夏黎黎、范永存. A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations. JOURNAL OF ENERGY STORAGE.2021.8.
8. 谢滟馨、王顺利、 Carlos Fernandez、于春梅、范永存、曹文、陈先培.A Novel High Fidelity Unscented Particle Filtering Method forthe Accurate State of ChargeEstimation of Lithium-Ion Batteries. International Journal of Electrochemical Science. 2021.7.
9. 杨潇、王顺利、徐文华、于春梅、乔家璐、黄俊涵.. 基于LM-RLS和渐消因子EKF算法的锂电池SOC估计, 控制工程,2021.6
10. 余鹏、王顺利、于春梅、蒋聪、史卫豪.An adaptive fractional-order extended Kalman filtering for state of charge estimation of high-capacity lithium-ion battery. INTERNATIONAL JOURNAL OF ENERGY RESEARCH,2021.11.
11 夏黎黎、王顺利、于春梅、蒋聪、范永存、曹文. A Novel Prior Noise Correction - Adaptive Extended Kalman Filtering Method for the Full Parameter and State-of-energy co-estimation of the Lithium-ion Batteries. International Journal of Electrochemical Science,2021.5.
12. 熊然、王顺利、于春梅、夏黎黎. 基于Thevenin模型和改进扩展卡尔曼的特种机器人锂离子电池SOC估算方法, 储能科学与技术,2021.3
13.刘冬雷,范永存,王顺利,等. 基于RFMRA和改进PNGV模型的锂离子电池SOC估算[J]. 电池,2021,51(5):470-473. DOI:10.19535/j.1001-1579.2021.05.008
14.李博文,王顺利,于春梅,李建超,谢伟.在线参数辨识和扩展卡尔曼算法的锂离子电池SOC估算研究[J].自动化仪表,2020,41(03):41-46+52.
15.何明芳,王顺利,于春梅,蒋聪,王露.基于改进PNGV建模的锂电池SOC估算研究[J].自动化仪表,2020,41(06):46-51.
16.夏黎黎,王顺利,于春梅,李建超,谢伟.基于AEKF算法的三元锂电池SOC估算方法研究[J/OL].控制工程:1-7[2020-12-14].https://doi.org/10.14107/j.cnki.kzgc.20190586. 2021,28（4）：730-735
17.余鹏,王顺利,于春梅.基于自适应分数阶扩展卡尔曼的锂电池SOC估算[J/OL].储能科学与技术:1-7[2020-12-14].https://doi.org/10.19799/j.cnki.2095-4239.2020.0217.
18.史卫豪,王顺利,于春梅,李建超,谢伟.无人机锂电池电路等效和荷电状态智能计算估计[J].自动化仪表,2020,41(05):65-70.
19.徐文华,王顺利,于春梅,李建超,谢伟.基于Thevenin模型和UKF的锂电池SOC估算方法研究[J].自动化仪表,2020,41(05):31-36.
20.李博文,王顺利,于春梅,李建超,谢伟.在线参数辨识和扩展卡尔曼算法的锂离子电池SOC估算研究[J].自动化仪表,2020,41(03):41-46+52.
21.Wang Shunli; Fernandez Carlos; Cao Wen; Zou Chuanyun; Yu Chunmei; Li Xiaoxia; An adaptive working state iterative calculation method of the power battery by using the improved Kalman filtering algorithm and considering the relaxation effect. Journal of Power Sources, 2019; 428: 67-75.
22.Wang Shunli; Fernandez Carlos; Zou Chuanyun; Yu Chunmei*; Chen Lei; Zhang Li; A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction, Energy, 2019, 171 (15): 444-455.
23.Wang Shunli; Fernandez Carlos; Zou Chuanyun; Yu Chunmei*; Li Xiaoxia; Pei Shijie; Xie Wei; Open circuit voltage and state of charge relationship functional optimization for the working state monitoring of the aerial lithium-ion battery pack. Journal of Cleaner Production, 2018,198: 1090-1104.
24.Wang Shunli; Yu Chunmei*; Fernandez Carlos; Chen Mingjie; Li Guilin; Liu Xiaohan; Adaptive State-of-Charge Estimation Method for an Aeronautical Lithium-ion Battery Pack Based on a Reduced Particle-unscented Kalman Filter, Journal of Power Electronics, 2018, 18 (4): 1127-1139.
科研项目（项目名称、项目编号、项目来源、起止时间、经费、排名情况）：
1 国家自然科学基金委员会, 面上项目, 62173281, 强鲁棒性锂离子电池循环寿命预估研究, 2022-01-0 1 至 2025-12-31, 60万元, 在研, 参与
2 纽安捷能源技术（南京）有限公司, 企业委托项目, 21zh0137, 高寒环境强适应性锂电储能核心技术 研发, 2021-04 至 2023-12, 49.98万元, 在研, 参与
3 四川森姆利科技有限公司, 企业委托项目, 21hxzln01, 混合动力电源自适应能量管理系统, 2021-11 至 2022-11, 89.75万元, 在研, 参与
4 四川省科技厅, 重点研发项目, 19ZDYF1098, 民用大中型无人机锂电池高可靠性管理系统, 2019-01 至 2020-12, 30万元, 结题, 参与
2 纽安捷能源技术（南京）有限公司, 企业委托项目, 21zh0137, 高寒环境强适应性锂电储能核心技术 研发, 2021-04 至 2023-12, 49.98万元, 在研, 参与
3 四川森姆利科技有限公司, 企业委托项目, 21hxzln01, 混合动力电源自适应能量管理系统, 2021-11 至 2022-11, 89.75万元, 在研, 参与
4 四川省科技厅, 重点研发项目, 19ZDYF1098, 民用大中型无人机锂电池高可靠性管理系统, 2019-01 至 2020-12, 30万元, 结题, 参与
教学工作（讲授过的课程、指导研究生的情况）：
自动控制理论、现代控制理论、电力系统仿真、系统辨识
获奖及其他（获奖、学术交流、社会活动、社会兼职等）