范天娥

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副教授   Supervisor of Master's Candidates  

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性别:女                   学位:工学博士

学历:博士研究生                   职称:副教授 

专业:系统工程                政治面貌:党员

E-mailfante@cqupt.edu.cn                  电话:13658368584

所在单位:自动化学院                                                    招生学科:控制科学与工程,仪器科学与技术,控制工程,电子信息等

个人简介

范天娥,重庆邮电大学自动化学院副教授,博士,硕士生导师。2018博士毕业于厦门大学,博士期间2016-2017年于英国伯明翰大学进行联合培养学习。主要研究方向为新能源汽车电池管理系统、储能电池故障诊断、基于机器学习的电池材料筛选与预测等方面的研究已发表学术论文20余篇,其中以第一作者或通信作者Nano-Micro Letter,  Energy,  Journal of energy storage,  Computer Physics Communications等国际高水平期刊上发表SCI论文10主持国家自然科学基金青年项目51901031),中国博士后科学基金面上项目(2021M693766重庆市自然科学基金面上项目(cstc2021jcyj-msxmX0503),以及重庆市教委自然科研项目(KJQN201900623)等,参与多项国家自然科学基金面上项目和科技部重点研发计划等项目

主持或参与的科研项目

1. 项目名称:金属纳米团簇/金属有机骨架复合材料的结构优化及吸附特性研究,国家自然科学基金,(批准号:519010312020.1-2022.12 主持,26

2. 项目名称:基于机器学习的金属纳米复合材料结构优化与性能预测研究,中国博士后科学基金面上资助,(批准号:2021M6937662021.7-2022.12 主持,8

3. 项目名称:数据驱动的金属团簇催化材料结构预测与性能优化研究,重庆市自然科学基金面上项目,(批准号:cstc2021jcyj-msxmX05032021.10-2024.10,主持,10

4. 项目名称:新能源富锂锰基正极电池材料的结构预测、制备与性能优化研究,重庆市教育委员会科学技术研究项目,(批准号:KJQN2019006232019.10-2022.10,  主持,4

5. 项目名称:双驱动下的动力锂电池组状态预测与故障诊断研究,重庆市教育委员会科学技术研究项目,(批准号:KJQN202300607)2023.10-2026.10, 主持,4万

6. 项目名称:储能电池性能优化及智能电池管理系统研究,重庆邮电大学博士启动基金,(批准号:A2019-052018.12-2023.11 主持,50

7. 项目名称:边缘计算验证平台及离散行业解决方案,国家重点研究计划,(批准号:2018YFB1700205) 2019.06-2023.05 参与,301

8. 项目名称:多能流系统递阶预测控制的综合设计与分析,国家自然科学基金委员会,面上项目(批准号:62073053)2021-01至2024-12,58万元,参与

9. 项目名称:磁流变橡胶-铁界面的磁控接触机制及摩擦学性能研究,国家自然科学基金委员会,面上项目(批准号:52075063)2021-01至2024-12,58万元,参与

10. 项目名称:基于轻量级神经网络的动力锂电池健康状态与剩余寿命预测研究,国家自然科学基金委员会,面上项目(批准号:52272388)2023-01至2026-12,59万元,参与

 

发表的论文

(1)Tian-E Fan*, Song-Ming Liu, Hao Yang, Peng-Hua Li, Bai-Hua Qu. A Fast Active Balancing Strategy Based on Model Predictive Control for Lithium-Ion Battery Packs. Energy, 2023, 279, 128028.(SCI 一区, TOP期刊)

(2)Tian-E Fan*, Song-Ming Liu, Xin Tang, Bai-Hua Qu. Simultaneously estimating two battery states by combining a long short-term memory network with an adaptive unscented Kalman filter. Journal of Energy Storage, 2022, 50, 104553. (SCI 二区, TOP期刊)

(3)Tian-E Fan*, Yan-Ru Zhang, Wei Jiang. Structure optimization and support effect of metal-organic frameworks on Pd-Ir bimetallic nanoclusters. Molecular Catalysis, 2023, 547, 113351. (SCI 二区)

(4)Tian-E Fan*, Xin Tang, Song-Ming Liu. CuFeS2 Nanosheets Assembled into Honeycomb-like Microspheres as Stable High-Capacity Anodes for Sodium-Ion Batteries. ACS Applied Nano Materials, 2022.5, 8, 10392–10398 (SCI 二区)

(5)范天娥*,唐鑫,雷浩然,李鹏华. 统计分析和密度聚类的锂离子电池组内短路故障诊断,电子测量与仪器学报,2023,第37卷,第7期

(6)Tian-E Fan, Yan-Ru Zhang, Wei Jiang. A two-step optimization approach for structures investigation of Pd-Ir bimetallic nanoclusters. Computational Materials Science, 2022, 214, 111680. SCI三区)

(7)Tian-E Fan*Song-Ming Liu,  Xin TangZhen-Hua ZouJiang-Qi XieMing-Yu Wang. Rational construction of Na0.44MnO2 nanorods and PAN nanofibers composite as high areal capacity sodium-ion batteries[J]. Ionics, 2021, 27:11371142. SCI.SCI三区)

(8)Tian-E Fan*, Hao-Fei Xie*. Sb2S3-rGO for high-performance sodium-ion battery anodes on Al and Cu foil current collector. J. Alloy. Compd., 2019, 775, 549-553. (SCI二区, Top期刊)

(9)Pan Deng, Jing Yang, Shengyang Li, Tian-E Fan*, Hong-Hui Wu, Yun Mou, Hui Huang, Qiaobao Zhang*, Dong-Liang Peng, Baihua Qu*. Achieving a high initial reversible capacity and long life of ternary SnO2-Co-carbon nanocomposites anode for lithium-ion batteries [J], Nano-Micro Lett., 2019, 11, 18. (SCI一区,TOP期刊)

(10)Tian-E Fan, Ilker Demiroglu, Heider A. Hussein, Tun-Dong Liu*, Roy L. Johnston*. DFT study of the structure, chemical ordering and molecular adsorption of Pd–Ir nanoalloys [J]. Phys. Chem. Chem. Phys., 2017, 1927090-27098. (SCI二区, Top期刊)

(11)Tian-E Fan, Gui-Fang Shao, Qing-Shuang Ji, Ji-Wen Zheng, Tun-Dong Liu*, Yu-Hua Wen. A multi-populations multi-strategies differential evolution algorithm for structural optimization of metal nanoclusters[J]. Comput. Phys. Commun., 2016, 208: 64-72. (SCI二区, Top期刊)

(12)Tian-E Fan, Tun-Dong Liu, Ji-Wen Zheng, Gui-Fang Shao*, Yu-Hua Wen. Structure and stability of Fe-Pt bimetallic nanoparticles: Initial structure, composition and shape effects[J]. J. Alloy. Compd., 2016, 685: 1008-1015. (SCI二区, Top期刊)

(13)Tian-E Fan, Tun-Dong Liu, Ji-Wen Zheng, Gui-Fang Shao, Yu-Hua Wen. Structural optimization of Pt-Pd-Au trimetallic nanoparticles by discrete particle swarm algorithms[J], J. Mater. Sci., 2015, 50(9): 3308-3319. (SCI二区, Top期刊)

(14)Tun-Dong Liu, Tian-E Fan, Ji-Wen Zheng, Gui-Fang Shao, Qiao Sun, Yu-Hua Wen. Structural optimization of Fe nanoclusters based on multi-populations differential evolution algorithm[J]. J. Nanopart. Res., 2016, 18(3): 1-16.

(15)Tun-Dong Liu, Tian-E Fan, Gui-Fang Shao, Ji-Wen Zheng, Yu-Hua Wen. Particle swarm optimization of the stable structure of tetrahexahedral Pt-based bimetallic nanoparticles[J]. Phys. Lett. A, 2014, 378(40): 2965-2972.

(16)Ilker Demiroglu, Tian-E Fan, Zi-You Li, Jun Yuan, Tun-Dong Liu, Laurent Piccolo, Roy L Johnston. Modelling Free and Oxide-supported Nanoalloy Catalysts: Comparison of Bulk-immiscible Pd-Ir and Au-Rh Systems and Influence of a TiO2 Support[J]. Faraday Discuss., 2018, 208: 53-66.

(17)Tun-Dong Liu; Tian-E Fan; Zheng Binghui; Tao Jiping, A novel routing scheme in OBS network with sparse wavelength conversion capabilities, Optik, 2014, 125(3): 1002-1006.

(18)Liu Tun-Dong; Li Ze-Peng; Ji Qing-Shuang; Shao Gui-Fang; Tian-E Fan; Wen Yu-Hua, Structural optimization of Fe-n-Pt-m ( 5 <= n + m <= 24) alloy clusters based on an improved Basin-Hopping Monte Carlo algorithm, Acta Physica Sinica, 2017, 66(5): 053601.

(19)Liu Tun-Dong; Zheng Ji-Wen; Shao Gui-Fang; Tian-E Fan; Wen Yu-Hua, Morphology and structural stability of Pt-Pd bimetallic nanoparticles, Chinese Physics B, 2015, 24(3): 033601.

(20)Qi Zhang, Yaping Zeng, Changsheng Ling, Liu Wang, Zhiyong Wang, Tian-E Fan, Heng Wang, Jianrong Xiao, Xinyu Li, Baihua QuBoosting Fast Sodium Ion Storage by Synergistic Effect of Heterointerface Engineering and Nitrogen Doping Porous Carbon Nanofibers, Small 18.13 (2022): 2270062.

 

发明的专利

1. 范天娥, 唐鑫, 刘松明. 一种基于双模型的锂离子电池组电压异常故障诊断方法. 申请号:202110993005.9

2. 范天娥, 唐鑫, 瞿佰华,刘松明,白昊,林欢. 一种基于熵和聚类算法的锂离子电池组短路故障诊断方法. 申请号:202210802712.X

3. 范天娥,蒋为,张艳如,易守银,杜培宁. 一种Pd-Ir双金属纳米团簇结构分步优化方法. 申请号:202210820452.9

4. 李鹏华, 胡晓松, Radu Grosu, 王平, 侯杰, 范天娥. Method For Estimating The Capacity Of Lithium Battery Based On Convolution Long-short-term Memory Neural Network. 授权号:PCT/CN2020/072069

5. 范天娥,杨浩,刘松明,雷浩然.一种基于时间最优的锂离子电池组主动均衡方法.申请号:202211461252.5


Educational Experience

2014.9 2018.6

  • 厦门大学
  • Doctoral Degree in Engineering

2012.9 2014.8

2008.9 2012.7

  • 南昌大学科学技术学院
  • Bachelor's Degree in Engineering

Work Experience

2018.7 Now
  • 重庆邮电大学
  • 自动化学院
  • 副教授
  • 在职
  • 从事教学科研工作

Social Affiliations

Research Focus

  • 新能源催化材料结构预测与性能优化
  • 基于机器学习的电池材料筛选与性能预测
  • 新能源汽车电池健康管理与多故障诊断