• 2005年9月-2009年7月，西安交通大学，电气工程与自动化，本科，学士学位  

• 2009年9月-2014年6月，西安交通大学，电气工程，硕博连读，博士学位  

• 2013年12月-2014年5月，俄亥俄州立大学，交流访问  

• 2015年8月-2016年8月，俄亥俄州立大学，国家公派访问学者  

高韧性电能装换装备

https://orcid.org/0000-0002-0379-4059

共性基础

• 多物理场耦合建模分析

• PINN降阶计算

• 可靠性设计、试验与评价技术

• 绝缘状态劣化过程分析

• 在线监测与状态评价技术

  
  

应用研究

• 固态变压器用高压高频变压器多物理场分析与综合优化

• 高压功率器件状态劣化机理、可靠性设计测试与状态评价技术
  

• 柔性直流输电MMC子模块状态评价技术

• 干式空心电抗器匝间结构劣化过程分析与故障诊断技术

• 直流支撑电容器自愈模型、优化设计与状态评价技术

• 海上风电并网设备多因素综合模型与状态评价

• 高压直流输电工程滤波电容器振动机理与降噪措施  

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• 智能电网国家科技重大专项课题，2026ZD0813304, 聚酰亚胺-环氧/导体多界面强化与服役性能评估方法研究, 2026-04 至 2029-12

• 国家重点研发计划课题，2023YFB2406901, 海上风电并网系统远程监测与故障诊断, 2023-12 至 2026-11

• 青年拔尖人才项目，高压换流器劣化特性与状态监测, 2022-11 至 2026- 10

• 陕西省重点研发计划项目，2024PT-ZCK-92, 柔性直流输电换流阀数字孪生与健康状态监测装置, 2024-10 至 2026-09

• 国网总部科技项目，202507110, 具备状态监测的智能化MMC功率模块研制关键技术研究, 2025-06 至 2028-12

• 南网总部科技项目, 202312298, 海上风电MMC换流阀健康状态评估技术研究, 2023-12 至 2026-08

• 襄阳中车电机技术有限公司，高压 、高频变压器产品及关键技术研究, 2025- 12 至 2026-06

• 国网河北省电力有限公司， 融合多源信息的特高压柔直换流阀运行状态评价方法研究与应用, 2024-11 至 2025-12

• 安徽智磁新材料科技有限公司，面向人工智能数据中心固态变压器应用的高频低损耗纳米晶磁芯关键技术, 2025-11 至 2028-12

             https://orcid.org/0000-0002-0379-4059    

[1] Li, Y., Zhan, C., Zhu, L., et al. Efficient Optimization Approach of Partial Discharge Inception Voltage for Substrate Trench of Power Modules Based on Chain-Equivalent Circuit Model[J]. IEEE Transactions on Power Electronics, 2026, 41(9): 16099-16114.

[2] Liu, Z., Zhu, L., Zhang, G., et al. Enhanced Thermal Design of High-Power-Density Dry-Type High-Frequency Transformer With Heat Pipe Cooling in Medium Voltage Applications[J]. IEEE Transactions on Power Electronics, 2026, 41(8): 13231-13246.

[3] Dang, Y., Zhu, L., Liu, Z., et al. Multistage Multifidelity Optimal Design Method Based on Evolutionary Computation With Dynamic Population for High-Power High-Voltage High-Frequency Transformers[J]. IEEE Transactions on Power Electronics, 2026, 41(8): 13878-13894.

[4] Liu, Z., Zhu, L., Zhang, G., et al. Prediction Method and Analysis of Thermal Field in Nanocrystalline Core High-Frequency Transformer Considering Leakage Flux Induced Power Loss[J]. IEEE Transactions on Power Electronics, 2026, 41(6): 9374-9386.

[5] Tang, Y., Zhan, C., Zhu, L., et al. Advanced Spatial Temperature Monitoring of Power Modules via Fourier Neural Operator-Based Thermal Model[J]. IEEE Transactions on Power Electronics, 2026, 41(3): 3154-3160.

[6] Dang, Y., Zhu, L., Zhang, S., et al. Thermal Modeling Method With Identified Thermal Parameters and Core Loss Model for High-Voltage High-Power High-Frequency Transformers With Racetrack Spiral Windings[J]. IEEE Transactions on Transportation Electrification, 2026, 12(2): 2416-2433.

[7] Dang, Y., Zhu, L., Liu, F., et al. Breakdown Characteristics of DMD Paper and Epoxy Resin Under the Square Waveform Voltage of High-Frequency Transformers Using Equal-Diameter Cylindrical Electrodes[J]. IEEE Transactions on Power Electronics, 2025, 40(10): 14785-14796.

[8] Tang, Y., Zhan, C., Zhu, L., et al. Physics-Informed Intelligent Thermal Model for SiC Power Modules With High Generalization[J]. IEEE Transactions on Power Electronics, 2025, 40(10): 14459-14477.

[9] Liu, Z., Zhu, L., Dang, Y., et al. Core Loss Calculation Method Considering Leakage Flux Induced Power Loss for Nanocrystalline Core High-Frequency Transformer Under Load Condition[J]. IEEE Transactions on Power Electronics, 2025, 40(9): 13126-13141.

[10] Dang, Y., Zhu, L., Liu, F., et al. Multilevel Boundary-Coupled Method for the Efficient Thermal Prediction of High-Frequency Transformers (HFTs) With Cylindrical Windings[J]. IEEE Transactions on Power Electronics, 2025, 40(4): 5566-5582.

[11] Liu, Z., Zhu, L., Dang, Y., et al. Deduction Measurement Method and High-Accuracy Calculation Model of Leakage Flux Eddy Current Loss in Nanocrystalline Core High-Frequency Transformer[J]. IEEE Transactions on Power Electronics, 2025, 40(4): 5609-5621.

[12] Tang, Y., Zhan, C., Zhu, L., et al. Efficient Junction Temperature Estimation of SiC Power Modules Based on Temperature-Dependent Lumped Thermal Model[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2025, 13(3): 2799-2810.

[13] Zhan, C., Tang, Y., Zhu, L., et al. Intelligent Condition Monitoring of Multiple Thermal Degradation of IGBT Modules Based on Case Temperature Matrix[J]. IEEE Transactions on Power Electronics, 2024, 39(10): 12490-12501.

[14] Zhan, C., Zhu, L., Zhang, Y., et al. Investigation on Saturation Voltage Increment of Multichip Press-Pack IGBTs Under Power Cycling Tests[J]. IEEE Transactions on Industrial Electronics, 2024, 71(11): 15012-15023.

[15] Zhan,C.,Zhu, et al. Multidimensional Mission-Profile-Based Lifetime Estimation Approach for IGBT Modules in MMC–HVdc Application Considering Bidirectional Power Transfer[J]. Ieee Transactions on Industrial Electronics, 2023, 70(7): 7290-7300.

[16] Dang,Y.,Zhu, et al. Analytical Double-2D Frequency-Dependent Leakage Inductance Model for Litz-Wired High-Frequency Transformer[J]. Ieee Transactions on Industrial Electronics, 2023, 70(12): 12134-12144.

[17] Zhu,L.,Zhang, et al. Mechanical condition diagnosis method of high‐voltage reactor using its oil tank operation deflection shape[J]. Iet Generation, Transmission and Distribution, 2023, 17(21): 4781-4793.

[18] Liu,Z.,Zhu, et al. Accurate Analysis of Core Loss Considering the Non-uniform Magnetic Flux Distribution for High-Frequency-Transformer in Dual-Active-Bridge DC-DC Converter[C]//2023 Ieee Energy Conversion Congress and Exposition, Ecce 2023: Ieee, 2023: 5572-5578.

[19] Zhan,C.,Zhu, et al. A Large-Scale Identification Approach for Thermal Parameters of Multichips IGBT Modules Based on LLSO-SQP Algorithm[J]. Ieee Journal of Emerging and Selected Topics in Power Electronics, 2023, 11(3): 2554-2564.

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