周 泽(讲师)

发布时间:2025-06-17

    名:周泽 

    别:男 

    称:讲师 

  研究方向:预测控制、智能与数学优化算法、机器学习、交通能源融合系统优化、电氢综合能源系统优化、燃料电池汽车能量管理

    箱:zhouze@whut.edu.cn 

  QQ号码:869755537 

   

 教师介绍
  周泽博士,现为武汉理工大学自动化学院讲师、硕士研究生导师。主要研究方向包括预测控制、智能与数学优化算法、机器学习、交通能源融合系统优化、电氢综合能源系统优化、燃料电池汽车能量管理等。截至目前,主持了国家重点研发计划子课题1湖北省自然科学基金青年B类项目1、武汉市自然科学基金探索计划(晨光计划)项目1。目前,以第一作者/通讯作者身份发表SCI论文17篇,其中包含9篇中科院1Top期刊论文。受邀担任多个国际权威SCI期刊的审稿人,包括 IEEE Transactions on Industrial ElectronicsIEEE Transactions on Power ElectronicsApplied EnergyIEEE Vehicular Technology MagazineIEEE Systems, Man, and Cybernetics MagazineJournal of the Franklin Institute 和 Measurement 等。
 工作经历
  2023.04—至今,武汉理工大学,自动化学院,讲师 
 教育经历

  2019.09—2023.03, 浙江大学, 控制科学与工程, 博士 

  2016.09—2019.06, 武汉理工大学, 控制科学与工程, 硕士 

  2012.09—2016.06, 武汉理工大学, 自动化, 学士 

 代表性科研项目
  [1] 交通运输部国家重点研发计划子课题交通枢纽多能流交互异构数据融合技术, 2025-062028-05, 50万元在研主持.

  [2] 湖北省科学技术厅湖北省自然科学基金青年B类项目, 2025AFB188, 融合电动汽车动态无线充电的电力-交通系统多时间尺度协同优化策略研究, 2025-03-012027-02-28, 10万元在研主持.

  [3] 武汉市科技创新局武汉市自然科学基金探索计划(晨光计划)项目电动汽车动态无线充电系统结构优化与鲁棒控制研究, 2025-06-022027-06-01, 10万元在研主持.

  [4] 东风商用车技术中心, 预见性能量管理技术-燃料电池模型预测能量管理, 2025-072026-12, 46.9万元在研主持.

  [5] 国网浙江省电力有限公司浙江宁波公司2024年质子交换膜电解电堆自建模技术及平台开发, 2024-072025-12, 98万元在研主持.

  [6] 武汉理工大学自主创新基金新能源电池智能状态感知与协同管控技术研发及产业化, 2025-052026-05, 5万元在研主持.

  [7] 中央高校基本科研业务费专项资金, WUT:2024IVA041, 电力交通系统中融合动态无线充电设施的新能源微电网容量规划策略研究, 2024-022025-10, 5万元在研主持.

  [8] 国家自然科学基金委员会面上项目, 52472438, 数据与知识联合驱动的自动驾驶类人决策及运动控制, 2025-01-012028-12-31, 48万元在研参与.

  [9] 科学技术部高技术研究发展中心国家重点研发计划课题, 2023YFB4005602, 多机燃料电池系统状态监测与协同控制, 2023-122026-11, 525万元在研参与.

  [10] 国家自然科学基金委员会面上项目, 62173297, 基于无源性理论的电动汽车动态无线充电系统的建模与控制, 2022-01-012025-12-31, 60万元在研参与.

 代表性论文
  [1] Junyi Li, Liyan Zhang, Ze Zhou*, Dongqi Zhao, Yuchen Dai, and Qihong Chen. Multi-scale collaborative optimization strategy of dynamic wireless charging highway and microgrid coupled system[J]. IEEE Transactions on Transportation Electrification, Accept. 2025.

  [2] Benchang Jin, Liyan Zhang, Ze Zhou*, Dongqi Zhao, and Qihong Chen. Digital twin-based fuzzy logic control with uncertain rules for fuel cell trucks[J]. International Journal of Green Energy, Accept. 2025.

  [3] Benchang Jin, Liyan Zhang, Ze Zhou*, Dongqi Zhao, and Qihong Chen. Multi-time scale energy management strategy for fuel cell hybrid electric trucks based on model predictive control[J]. International Journal of Hydrogen Energy, 2025, 114: 312-325.

  [4] Ze Zhou, Zhichao Fu, Liyan Zhang, Shuiying Yu, Dongqi Zhao, Jing Fan, and Qihong Chen. Multi-objective optimization for low hydrogen consumption and long useful life in fuel cell emergency power supply systems[J]. International Journal of Hydrogen Energy, 2024, 68: 297-310.

  [5] Zhichao Fu, Qihong Chen, Ze Zhou*, Dongqi Zhao, Shuiying Yu, and Liyan Zhang. Energy management strategy for long-life fuel cell hybrid power systems based on improved whale optimization algorithm[J] Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2024, 46(1): 1–16.

  [6] Ze Zhou, Zhichao Fu, Liyan Zhang, Dongqi Zhao, Shuiying Yu, and Qihong Chen. Energy management strategy for low hydrogen consumption in hybrid power systems consisting of dual fuel cells and a single lithium battery[J]. International Journal of Green Energy, 2024, 21(11), 2441–2456.

   [7] Ze Zhou, Zhitao Liu, Hongye Su, and Liyan Zhang. Optimal operation for cross-period scheduling of electric vehicles in traffic-power systems[J]. IEEE Transactions on Transportation Electrification, 2024, 10(3): 6676-6689.

  [8] Ze Zhou, Zhitao Liu, Hongye Su, and Liyan Zhang. Planning of static and dynamic charging facilities for electric vehicles in electrified transportation networks[J]. Energy, 2023, 263, 126073.

  [9] Ze Zhou, Zhitao Liu, Hongye Su, and Liyan Zhang. Integrated pricing strategy for coordinating load levels in coupled power and transportation networks[J]. Applied Energy, 2022, 307, 118100.

  [10] Ze Zhou, Zhitao Liu, Hongye Su, and Liyan Zhang. Collaborative strategy of dynamic wireless charging electric vehicles and hybrid power system in microgrid[J]. International Journal of Electrical Power & Energy Systems, 2022, 143, 108368.

  [11] Ze Zhou, Zhitao Liu, Hongye Su, and Liyan Zhang. Bi-level framework for microgrid capacity planning under dynamic wireless charging of electric vehicles[J]. International Journal of Electrical Power & Energy Systems, 2022, 141, 108204.

  [12] Ze Zhou, Zhitao Liu, Hongye Su, and Liyan Zhang. Intelligent path planning strategy for electric vehicles combined with urban electrified transportation network and power grid[J]. IEEE Systems Journal, 2022, 16(2): 2437-2447.

  [13] Ze Zhou, Zhitao Liu, Hongye Su, and Liyan Zhang. Multi-objective optimization for 10-kW rated power dynamic wireless charging systems of electric vehicles[J]. Science China-Information Sciences, 2022, 65(10): 202201.

  [14] Ze Zhou, Zhitao Liu, Hongye Su, and Liyan Zhang. Model predictive control with fractional-order delay compensation for fast sampling systems[J]. Science China-Information Sciences, 2021, 64(7): 172211.

  [15] Ze Zhou, Liyan Zhang, Zhitao Liu, Qihong Chen, Rong Long, and Hongye Su, Model predictive control for the receiving-side DC–DC converter of dynamic wireless power transfer[J]. IEEE Transactions on Power Electronics, 2020, 35(9): 8985-8997.

  [16] Ze Zhou, Liyan Zhang, Zhitao Liu, Longhua Ma, Miao Huang, and Hongye Su. Design and demonstration of a dynamic wireless power transfer system for electric vehicles[J]. Science China-Information Sciences, 2019, 62(12): 224201.

  [17] Liyan Zhang, Ze Zhou, Qihong Chen, Rong Long, and Shuhai Quan. Model predictive control for electrochemical impedance spectroscopy measurement of fuel cells based on neural network optimization[J]. IEEE Transactions on Transportation Electrification, 2019, 5(2): 524-534.

 

 发明专利
  [1] 张立炎周泽陈启宏全书海谢长君石英黄亮邓坚动态无线电能传输系统及其预测控制方法. ZL201810203046.1. 2022.05.03.

  [2] 张立炎周泽覃国安全书海曾晨陈启宏龙容谢长君黄亮石英基于FPGADC/DC转换器预测控制方法. ZL201410242458.8. 2017.07.07.

  [3] 周泽蒋唯依张立炎赵东琦陈启宏张腾张德智吴柏毅一种基于模糊控制的多堆燃料电池的能源管理方法及系统. CN202411613718.8. 2024.11.13.

  [4] 张立炎鲁彬彬周泽赵东琦陈启宏张腾张德智基于多时间尺度控制的燃料电池系统能量管理方法及系统. CN202510154130.9. 2025.02.12. 

 招生信息
  每年拟招收硕士研究生2-3名,当前研究方向包括但不限于:预测控制、智能与数学优化算法、机器学习、交通能源融合系统优化、电氢综合能源系统优化、燃料电池汽车能量管理等。欢迎对科研有浓厚兴趣的本科生积极参与课题组的科研工作与项目实践,共同探索前沿科学问题。