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张立强
澳门新葡萄京app下载:李佳敏??发布时间:2017-05-04?? 浏览次数:4638

姓名:张立强

职称/职务:副教授 / 教研室主任

专业:自动化

所在单位(系、所、中心等):澳门新葡萄京app下载自动化及测控系

通讯地址:山东省青岛市崂山区松岭路238号澳门新葡萄京app下载 X-092信箱

电子信箱:zhang.lq@ouc.edu.cn

办公室电话:0532-66782391

传真:0532-66782391

 

学习经历:

1. 2010.92015.7 哈尔滨工业大学电力电子及电力传动博士

2. 2008.92010.7 哈尔滨工业大学电气工程硕士

3. 2004.92008.7 哈尔滨工业大学电气工程及其自动化本科

 

工作经历:

1. 2019.1~今澳门新葡萄京app下载副教授

2. 2015.72018.12 澳门新葡萄京app下载讲师

3. 2015.82018.11 澳门新葡萄京娱乐网站水利工程博士后

 

研究方向/岗位职责:

1. 锂离子电池寿命预测与健康管理(PHM

2. 储能电池管理系统(BMS)及故障诊断

 

讲授课程:

1. 本科生课程:电路原理、电力电子技术、文献阅读与综述

 

科研项目:

1.    面向海洋能电站的储能电池组建模与健康特征提取方法研究,国家自然科学基金,21万元,2017.12019.12,项目负责人。

2.    储能电池组内部健康特征快速提取方法研究,山东省博后创新基金,6万元,2016.72017.8,项目负责人。

3.    储能电池组健康状态快速提取方法及应用,青岛市博士后人员应用研究项目,5万元,2015.102017.3,项目负责人。

4.    海洋仪器电池健康特征快速提取与寿命预测关键技术研究,澳门新葡萄京娱乐网站青年教师科研专项基金,10万元,2015.102017.9,项目负责人。

5.    无人船***系统,国家重点研发计划子课题,85万元,2017.1~2020.12,主要参与人,排名8

6.    近海可再生能源转换系统的建模、优化和设计,国家自然科学基金,60万元,2017.72020.6,主要参与人,校内排名2

7.    近海浅层气电阻率成像法探测技术研究-以舟山火山列岛海域为例,国家自然科学基金,2018.1~2021.12,主要参与人,排名3

8.    基于协同式情景进化的高频地波雷达目标跟踪算法高效测评方法研究,国家自然科学基金,19万元,2017.12019.12,主要参与人,排名5

9.    面向性能在线评估的锂离子电池机理模型仿真关键技术研究,国家自然科学基金,87万元,2015.12018.12,主要参与人,排名4

10.   锂离子电池PHM特征库构建方法的研究,国家自然科学基金,25万元,2012.12014.12,主要参与人,排名3

 

学术兼职:

美国电化学学会(ECS)会员

美国电气电子工程师协会(IEEE)会员

Electrochimica ActaIEEE Transactions on Industrial ElectronicsJournal of The Electrochemical Society审稿人

 

代表性论著:

1.    Zhang Liqiang*, Lyu Chao. Decomposition study of degradation reasons for LiCoO2-based 14500 Lithium-ion batteries using a nondestructive method[J]. IEEE Access, 2018, 6: 44417-44432. (SCI)

2.    Zhang Liqiang*, Lin Junyu, Li Ming. Research on the typical working condi-tion of energy storage batteries for a wave energy converter[C]. IEEE Interna-tional Power Electronics and Application Conference and Exposition: 494-499, 4-7 November 2018, Shenzhen. (EI)

3.    Zhang Liqiang*, Liu Lanjun, Yang Rui, Wang Kun, Chen Zhen, Li Ming. A roadmap for modeling and feature extraction of energy storage battery pack for marine energy power station[C]. 2017 Prognostics and System Health Manage-ment Conference: 1-7, 9-12 July 2017, Harbin. (EI)

4.    Zhang Liqiang*, Li Junfu, Lyu Chao. A Novel Method for Capacity Fade Anal-ysis of Lithium-ion Batteries Based on Multi-Physics Model[C]. 2016 IEEE In-ternational Conference on Prognostics and Health Management: 1-7, 20-22 June 2016, Ottawa Canada. (EI)

5.    Liqiang Zhang, Lixin Wang, Gareth Hinds, Chao Lyu*, Jun Zheng, Junfu Li. Multi-objective optimization of Lithium-ion battery model using genetic algo-rithm approach[J]. Journal of Power Sources, 2014, 270: 367-378. (SCI)

6.    Liqiang Zhang, Lixin Wang, Chao Lyu*, Junfu Li, Jun Zheng. Non-Destructive Analysis of Degradation Mechanisms in Cycle Aged Graphite/LiCoO2 Batter-ies[J]. Energies, 2014, 7: 6282-6305. (SCI)

7.    Liqiang Zhang*, Chao Lyu, Gareth Hinds, Lixin Wang, Weilin Luo, Jun Zheng, Kehua Ma. Parameter Sensitivity Analysis of Cylindrical LiFePO4 Battery Per-formance Using Multi-Physics Modeling[J]. Journal of The Electrochemical Society, 2014, 161(5):A762-A776. (SCI)

8.    Liqiang Zhang, Lixin Wang, Chao Lyu*, Jun Zheng, Fangfei Li. Multi-physics modeling of Lithium-ion batteries and charging optimization[C]. IEEE PHM Conference: 391-400, 24-27 Augest 2014, Zhangjiajie. (EI)

9.    Liqiang Zhang, Chao Lyu*, Lixin Wang, Jun Zheng, Weilin Luo, Kehua Ma. Parallelized Genetic Identification of the Thermal-Electrochemical Model for Lithium-Ion Battery[J]. Advances in Mechanical Engineering, 2013, Artcle ID:754653. (SCI)

10.   Liqiang Zhang, Chao Lyu*, Lixin Wang, Weilin Luo, Kehua Ma. Thermal-electrochemical modeling and parameter sensitivity analysis of lithium-ion bat-tery[J]. Chemical Engineering Transactions, 2013, 33:943-948. (EI)

11.   Liqiang Zhang, Chao Lyu*, Weilin Luo, Lixin Wang. Identification of the Li+ Initial Inserted Rate of Electrode Materials in Li-ion Batteries Based on Multi-Objective Genetic Algorithm[C]. IEEE 8th Conference on Industrial Electronics and Applications: 1065-1070, 19-21 June 2013, Melbourne. (EI)

12.   张立强, 曲延滨*. 基于双CPU电能质量监测仪的谐波分析算法研究[J]. 电测与仪表, 2010, 47(5):16-19. (中文核心)

 

合著论文:

13.   罗伟林*, 张立强, 吕超,. 锂离子电池寿命预测国外研究现状综述[J]. 电源学报, 2013(1):140-144. (中文核心)

14.   Lyu C*, Zhang L, Luo W, et al. Evaluation on Performance of Lithium-ion Bat-teries Based on Internal Physical and Chemical Parameters[J]. Chemical Engi-neering Transactions, 2013, 2013:949-954. (EI)

15.   马克华, 吕超, 张立强, . 基于特性曲线的锂离子电池分类新方法[J]. 电源技术应用, 2014(9):17-21. (中文核心)

16.   吕超, 刘珊珊, 沈杰, 张立强, 王立欣. 锂离子电池等效电路模型的比较研究[J]. 电源技术应用, 2014(9):8-11. (中文核心)

17.   邓磊, 王立欣, 葛腾飞, 张立强, 吕超. 基于改进PNGV模型的动力锂电池快速充电优化[J]. 电源学报, 2014, 12(4):10-14. (中文核心)

18.   Luo W, Lyu C*, Wang L, Zhang L. An approximate solution for electrolyte concentration distribution in physics-based lithium-ion cell models[J]. Microe-lectronics Reliability, 2013, 53(6):797-804. (SCI)

19.   Luo W, Lyu C*, Wang L, Zhang L. A new extension of physics-based single particle model for higher charge–discharge rates[J]. Journal of Power Sources, 2013, 241(241):295-310. (SCI)

20.   Li J, Lyu C*, Wang L, Zhang L, Li C. Remaining capacity estimation of Li-ion batteries based on temperature sample entropy and particle filter[J]. Journal of Power Sources, 2014, 268(268):895-903. (SCI)

21.   Li J, Wang L*, Chao L, Zhang L, Wang H. Discharge capacity estimation for Li-ion batteries based on particle filter under multi-operating conditions[J]. En-ergy, 2015, 86:638-648. (SCI)

 

发明专利:

1.    张立强, 黎明, 林俊宇. 储能系统电池工况的简化方法, 实质审查, 2019.2.29 (201811294885.5)

 

App著作权:

1.    张立强. 锂离子电池P2D模型仿真App V1.0, 2015.12.30 (2018SR013621)

2.    张立强. 电池数值仿真配置工具箱App V1.0, 2016.4.25 (2018SR013616)

3.    张立强. 锂离子电池多物理模型参数辨识App V1.0, 2017.3.10 (2018SR067229)

4.    张立强. 扫频式电池EIS测试仪上位机App V1.0, 2017.11.1 (2018SR062862)

5.    陈明毅, 路鹏斐, 季志鹏, 张立强. 锂离子电池EIS测试装置自动控制App V1.0, 2018.9.15 (2018SR901760)

 

 

 

Resume in English

Zhang Liqiang

Title: associate professor

Department: Department of Automation

Address: Engineering College, Ocean University of China, 238 Songling Road, Qingdao, P. R. China, 266100

Office Phone: 86-532-66782391

E-mail: zhang.lq@ouc.edu.cn

 

Education

1. 2010.92015.7 Harbin Institute of Technology, Power electronics and power drives, Ph.D

2.2008.92010.7 Harbin Institute of Technology, Electrical engineering, M.S

3.2004.92008.7 Harbin Institute of Technology,Electrical Engineering & Its Automation, Bachelor

 

Work Experience

2019.1 –now  Work in, Engineering College, Ocean University of China, associate professor

2015.7 –2018.12  Work in, Engineering College, Ocean University of China, lecturer

 

Research Interests / responsibilities

1. Prognostics and Health Management (PHM) of Lithium-ion batteries

2. Battery Management System (BMS) and fault diagnosis of energy store systems

 

Courses

Undergraduate course: Circuit theory, Power electronic technology

 

Research Projects

1. Research on modeling and feature extraction of energy storage batterypack for marine energy power station, NSFC. 210,000RMB, 2017.12019.12, in charge.

2. A rapid method of internal health feature extraction for energy storage battery pack, Funds for postdoctors in Shandong, 60,000RMB, 2016.72017.8, in charge.

3. Research and applications on rapid extraction method of health features for energy store batteries, Funds for postdoctors in Qingdao,50,000RMB, 2015.102017.3, in charge.

4. Research on the key techniques of health featuresextraction and life prediction of battery for oceanographic instrumentation, Fundamental Research Funds for the Central Universities, 10,0000RMB, 2015.102017.9in charge. 

5. Research on the key techniques for multi-physics modeling: laysfoundations for real-time evaluating Li-ion batteries' performance,NSFC, 870,000RMB, 2015.12018.12, attended.

6. Research on PHM characteristic laboratory establishment method, NSFC, 250,000RMB2012.12014.12, attended.

 

Major Publication:

1.    Zhang Liqiang*, Lyu Chao. Decomposition study of degradation reasons for LiCoO2-based 14500 Lithium-ion batteries using a nondestructive method[J]. IEEE Access, 2018, 6: 44417-44432. (SCI)

2.    Zhang Liqiang*, Lin Junyu, Li Ming. Research on the typical working condi-tion of energy storage batteries for a wave energy converter[C]. IEEE Interna-tional Power Electronics and Application Conference and Exposition: 494-499, 4-7 November 2018, Shenzhen. (EI)

3.    Zhang Liqiang*, Liu Lanjun, Yang Rui, Wang Kun, Chen Zhen, Li Ming. A roadmap for modeling and feature extraction of energy storage battery pack for marine energy power station[C]. 2017 Prognostics and System Health Manage-ment Conference: 1-7, 9-12 July 2017, Harbin. (EI)

4.    Zhang Liqiang*, Li Junfu, Lyu Chao. A Novel Method for Capacity Fade Anal-ysis of Lithium-ion Batteries Based on Multi-Physics Model[C]. 2016 IEEE In-ternational Conference on Prognostics and Health Management: 1-7, 20-22 June 2016, Ottawa Canada. (EI)

5.    Liqiang Zhang, Lixin Wang, Gareth Hinds, Chao Lyu*, Jun Zheng, Junfu Li. Multi-objective optimization of Lithium-ion battery model using genetic algo-rithm approach[J]. Journal of Power Sources, 2014, 270: 367-378. (SCI)

6.    Liqiang Zhang, Lixin Wang, Chao Lyu*, Junfu Li, Jun Zheng. Non-Destructive Analysis of Degradation Mechanisms in Cycle Aged Graphite/LiCoO2 Batter-ies[J]. Energies, 2014, 7: 6282-6305. (SCI)

7.    Liqiang Zhang*, Chao Lyu, Gareth Hinds, Lixin Wang, Weilin Luo, Jun Zheng, Kehua Ma. Parameter Sensitivity Analysis of Cylindrical LiFePO4 Battery Per-formance Using Multi-Physics Modeling[J]. Journal of The Electrochemical Society, 2014, 161(5):A762-A776. (SCI)

8.    Liqiang Zhang, Lixin Wang, Chao Lyu*, Jun Zheng, Fangfei Li. Multi-physics modeling of Lithium-ion batteries and charging optimization[C]. IEEE PHM Conference: 391-400, 24-27 Augest 2014, Zhangjiajie. (EI)

9.    Liqiang Zhang, Chao Lyu*, Lixin Wang, Jun Zheng, Weilin Luo, Kehua Ma. Parallelized Genetic Identification of the Thermal-Electrochemical Model for Lithium-Ion Battery[J]. Advances in Mechanical Engineering, 2013, Artcle ID:754653. (SCI)

10.   Liqiang Zhang, Chao Lyu*, Lixin Wang, Weilin Luo, Kehua Ma. Thermal-electrochemical modeling and parameter sensitivity analysis of lithium-ion bat-tery[J]. Chemical Engineering Transactions, 2013, 33:943-948. (EI)

11.   Liqiang Zhang, Chao Lyu*, Weilin Luo, Lixin Wang. Identification of the Li+ Initial Inserted Rate of Electrode Materials in Li-ion Batteries Based on Multi-Objective Genetic Algorithm[C]. IEEE 8th Conference on Industrial Electronics and Applications: 1065-1070, 19-21 June 2013, Melbourne. (EI)

 


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