个人简介
教育经历 2003.9 - 2007.6：中南大学，本科毕业，获学士学位。 2007.9 - 2013.6：华中科技大学，研究生毕业，获博士学位。 工作经历 2015.7 - 2016.11：华中科技大学人工智能与自动化学院，担任讲师。 2016.11 - 2022.9：华中科技大学人工智能与自动化学院，担任副教授。 2019.9 - 2019.11：作为 ICET2019 国际清洁能源拔尖人才项目成员，赴瑞典皇家理工学院 / 麦拉达伦大学 Future Energy Institute 担任访问学者。该项目第二阶段邀请了全球近 60 位能源及相关领域顶尖学者（包括 MIT、加州大学等）进行讲座交流。项目第三阶段原计划赴 MIT 开展为期一年的交流，因全球疫情未能成行，但仍与美国、欧洲、澳洲等国家和地区的研究学者保持着深入的交流与合作。
研究领域
1、固体氧化物燃料电池发电系统控制与开发； 2、电动车动力电池管理系统研究与开发； 3、微电网燃料电池混合供能系统的控制与应用。
近期论文
Jiang Jianhua, Shen Tan, et.al, High efficiency thermoelectric cooperative control of a stand-alone solid oxide fuel cell system with an air bypass valve, Energy, 2018.07.1, 152: 13~26. IF= 8.857. Cheng Tianliang, Jiang Jianhua (*), et.al, Application oriented multiple-objective optimization, analysis and comparison of solid oxide fuel cell systems with different configurations, Applied Energy, 2019.2.1, 235: 914~929. IF=11.446. Wu Xiaodong, Jiang Jianhua (*),et.al, Two-dimensional temperature distribution estimation for a cross-flow planar solid oxide fuel cell stack, International Journal of Hydrogen Energy, 2020.1.13, 2257-2278. IF= 7.139. Haobo Zhang, Jianhua Jiang (*),et.al; Thermoelectrical-based fuel adaptability analysis of solid oxide fuel cell system and fuel conversion rate prediction, Energy Conversion and Management, 2020.10.15, 222, IF=11.533. Weiqi Zhao, Jianhua Jiang(*),et.al, Machine learning based soft sensor and long-term calibration scheme: a solid oxide fuel cell system case, International Journal of Hydrogen Energy, 2021.2, 46:17322-17342. IF= 7.139. Tianliang Cheng, Jianhua Jiang(*), et.al, Fault prognosis control of solid oxide fuel cell system based on health evaluation, International journal of hydrogen energy, 2021.11, 46: 38425-38450 IF= 7.139. Jianhua Jiang(*), Renjie Zhou, Hao Xu, et.al; Optimal sizing, operation strategy and case study of a grid-connected solid oxide fuel cell microgrid, Applied Energy, 2022.2.1, 307:118214. IF=11.446. Shengping Hong, Jianhua Jiang(*),et.al, An efficient online energy distribution management system based on predictive control, Journal of Energy Storage, 2022.7.2, 51: 104532. IF=8.907.