研究生培养
当前位置: 首页 >> 研究生培养 >> 导师介绍 >> 正文
    导师介绍
    导师简介-----吴京锦
    时间:2026-02-12 点击:

undefined

姓名:吴京锦

职称:副教授

导师类别:硕导

邮箱:jingjin.wu@hainanu.edu.cn

一、个人基本情况:

吴京锦,男,工学博士,英国上市公司365党委委员、副院长,副教授。2016年博士毕业于利物浦大学电子电气工程学院,2018年进入英国上市公司365从事教学科研工作。兼任海南省电机工程学会理事,海南省人工智能学会理事,《Journal of Power Source》、《Journal of Modern Power Systems and Clean Energy》、《Engineering》等中科院一区杂志的审稿人。主要从事储能电池健康状态检测及储能系统热失控预测研究,发表论文20余篇,申获发明专利6项,获得海南省科技进步奖二等奖1项。作为课题负责人主持海南省“揭榜挂帅”项目课题1项、海南省自然科学基金面上项目1项、海口市科技计划项目重点项目1项;参与国家重点研发项目1项、国家自然科学基金地区项目2项、海南省重大科技计划项目1项,海南省重点研发项目3项。曾获20th International symposium on the physical &failure analysis of integrated circuits (Soochow)和中南六省自动化学会年会(顺德)颁发的优秀论文奖等奖项。受邀在2nd International Symposium on Energy Challenges and Mechanic (Aberdeen)做特邀报告1次。

二、主要研究方向:

[1]储能电池状态估计、诊断预警及能量管理;

[2]可再生能源与综合能源系统;

[3]人工智能在复杂系统中的应用

开设课程:

《电力电子技术》,《模拟电子技术》

四、近年的代表性成果

主持或参与的主要科研项目:

[1]热带地区锂离子电池储能电站健康安全协同管控关键技术研究及示范应用,2025.07-2028.07

[2]海岛光-储-柴深度融合微电网技术创新研究与示范, 2023.12-2026.12

[3]漂浮式海上风电机组及海岛多能互补技术, 2022.06-2026.06

[4]换电模式下新能源汽车动力电池健康状态快速检测技术研发及应用示范项目, 2022.12-2024.12

[5]基于分布式光/储智能微电网的综合能源服务一体化开放与应用研究, 2020.12-2023.12

主要荣誉及教学科研获奖情况:

[1]海南大学教学成果奖二等奖,2025.

[2]海南大学第三届优秀研究生导师团队,2024.

[3]海南大学优秀共产党员,2023.

[4]海南省科学技术进步奖二等奖,2022.

近五年期刊论文:

[1] C. Li, Y. Zhu, J. Wu*. Dual-mode adjustment SHST-UKF estimation method for state of charge of lithium-ion batteries under wide temperature and multi-condition operating scenarios, Electric Power Systems Research, 250(2026), 112175. (IF: 4.2)

[2] Y. Wu, K. Wu, C. Qian, J. Wu*, Research on Power Quality Disturbance Identification by Multi-Scale Feature Fusion, Big Data Cogn. Comput., 2026, 10(1), 18. (IF: 4.4)

[3] J. Wu, W. Zhao, Y. Li, L. Zhang*. Low-complexity temperature-resilient SOC estimation via segmented R0 compensation: A FTTA-enhanced MISRCKF Approach for Lithium-ion batteries, Electrochimica Acta, 540(2025), 147261. (IF: 5.6)

[4] J. Wu,Q. Sun,C. Li,W. Tang,C. Han*. Analysis of vehicle-to-grid economy based on sustainable development grounded in game theory, Sustainable Energy Technologies and Assessments,73(2025),104087. (IF: 7.0)

[5] J. Wu, Y. Li, Q. Sun, Y. Zhu, L. Zhang*. Joint Battery State of Charge Estimation Method Based on a Fractional-Order Model with an Improved Unscented Kalman Filter and Extended Kalman Filter for Full Parameter Updating. Fractal and Fractional, 2024, 8(12):695. (IF: 3.3)

[6] J. Quan, Z. Zhao, W. Li, Y. Cao, J. Wu*. Enhancing YOLOv8n with Multiple Attention and MRV Module for Efficient Deep-Sea Pipeline Target Detection. Electronics, 2024, 14(2):267. (IF: 2.6)

[7] M. Zhang, M. Hao, J. Wu, Q. Lu. Recent progress of hydrogels in brain-machine interface, Soft Science, 2024, 4:39. (IF: 9.0)

[8] J. Wu, J., X.Cheng, H. Huang, C. Fang, J. Xing*. Remaining useful life prediction of Lithium-ion batteries based on PSO-RF algorithm. Frontiers in Energy Research, 2023, 10:937035. (IF: 4.0)

[9] R. Tang, K. Jiang, C. Li, J. Wu*. Modeling to correct the effect of soil moisture for predicting soil total nitrogen by near-infrared spectroscopy. Electronics, 2023, 12(6):1271. (IF: 2.6)

[10] J. Wu, C. Fang, J. Xing*. (2022). A multi-scale fractional-order dual unscented Kalman filter based parameter and state of charge joint estimation method of lithium-ion battery. Journal of Energy Storage, 50(2022), 104666. (IF: 9.8)

[11] R. Tang, X. Li, C. Li, J. Wu*. Estimation of total nitrogen content in rubber plantation soil based on hyperspectral and fractional order derivative. Electronics, 2022, 11(13):1956. (IF: 2.6)

[12] Jin, Z. , Fang, C. , J. Wu*. Remaining useful life prediction for lithium-ion battery using a data-driven method. International Journal of Wireless and Mobile Computing, 2022, 23(3-4):239-249. (EI)

[13] C. Fang, Z. Jin, J. Wu*. Estimation of lithium-ion battery soc model based on aga-foukf algorithm. Frontiers in Energy Research, 9(2021), 769818. (IF: 4.0)

[14] L. Xu, J. Xie, F. Cai, J. Wu*. Spectral classification based on deep learning algorithms. Electronics, 2021, 10(16):1892. (IF: 2.6)

专利:

[1] 李雨豪,吴京锦,唐荣年等. 一种电池状态监测装置. CN221811841U,2024-10-08.

[2] 孙潜,唐荣年,吴京锦等. 一种微电网中的复合储能装置. CN221669402U,2024-09-06.

[3] 李创,唐荣年,吴京锦等.一种电子设备及其电源缓冲保护电路. CN113014127B,2022-06-24.

[4] 吴京锦,薛育容,唐荣年等.一种微型加热芯片功率自由可调的装置. CN214376077U,2021-10-08.

[5] 方朝,吴京锦,金志扬等.基于梯次利用电池主动均衡控制的5G基站储能供电系统. CN214100910U,2021-08-31.

365英国上市公司(中国·VIP集团)官方网站-Official website
  • 地址:海南省海口市美兰区人民大道58号 邮编:570228
  • 综合办:0898-66267576 教务办:0898-66271526
  • 机械系:0898-66267372 电气系:0898-66267252 汽车系:0898-66267936
  • 美工支持/中旗网络
  • 英国上市公司365公众号 致远班