Chinese Journal of Electrical Engineering最新文献_第7页

Review of Low-Speed High-Torque Permanent Magnet Direct-Drive Motors 低速大转矩永磁直驱电机研究进展

IF 4

Chinese Journal of Electrical Engineering Pub Date : 2026-03-01 Epub Date: 2025-10-17 DOI: 10.23919/CJEE.2025.000132

Sijia Sun;Siyang Yu;Yue Zhang;Yongda Song;Fengge Zhang

{"title":"Review of Low-Speed High-Torque Permanent Magnet Direct-Drive Motors","authors":"Sijia Sun;Siyang Yu;Yue Zhang;Yongda Song;Fengge Zhang","doi":"10.23919/CJEE.2025.000132","DOIUrl":"https://doi.org/10.23919/CJEE.2025.000132","url":null,"abstract":"Low-speed high-torque transmission systems are widely employed in applications such as mining equipment and marine propulsion. However, the commonly used drive method, combining a conventional-speed induction motor with a reduction gearbox, results in increased system size, higher maintenance costs, and reduced reliability and operational efficiency. These limitations hinder its further development and broader application. As a result, direct-drive technology has emerged as the developmental trend and inevitable choice for low-speed high-torque transmission systems. The permanent magnet synchronous motor (PMSM) is particularly well-suited for low-speed direct drive applications due to its straightforward design, exceptional reliability, high efficiency, and excellent power factor. Domestic and international literature on the development history and fundamental structural features of low-speed high-torque permanent magnet direct-drive motors (LHPMDMs) is reviewed. In-depth research has addressed several persistent issues in LHPMDMs, including large volume, insufficient torque stability, high production costs, air gap eccentricity, and demagnetization. To tackle these challenges, solutions are proposed through new topologies, novel processes, advanced cooling systems, parameter optimization techniques, and online detection technology. Furthermore, the practical application and promotion of LHPMDMs are summarized. Finally, based on the current state of research, unresolved challenges and potential future development directions for LHPMDMs are discussed prospectively.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 1","pages":"216-239"},"PeriodicalIF":4.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11207112","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Battery Capacity Degradation Analysis: An Impedance-informed Dual-Tank Model 电池容量退化分析：一个阻抗知情的双油箱模型

IF 4

Chinese Journal of Electrical Engineering Pub Date : 2026-03-01 Epub Date: 2026-04-07 DOI: 10.23919/CJEE.2026.000009

Yuwen Jiang;Dongxu Guo;Jianguo Chen;Keming Zhang;Yuejiu Zheng

{"title":"Battery Capacity Degradation Analysis: An Impedance-informed Dual-Tank Model","authors":"Yuwen Jiang;Dongxu Guo;Jianguo Chen;Keming Zhang;Yuejiu Zheng","doi":"10.23919/CJEE.2026.000009","DOIUrl":"https://doi.org/10.23919/CJEE.2026.000009","url":null,"abstract":"Traditional physics-based models of lithium-ion batteries rely on complete and high-precision charge/discharge datasets that restrict their applicability in electric vehicle scenarios where charging data are often incomplete and operating conditions are highly dynamic. To overcome this limitation, an impedance-informed dual-tank model for degradation analysis and capacity estimation is proposed. By integrating the experimentally obtained state-of-charge (SOC)-dependent impedance characteristics into the dual-tank framework, the model accurately captures the dynamic evolution of polarization and internal resistance during cycling. The identified parameters quantitatively characterize the degrees of loss of active material (LAM) and loss of lithium inventory (LLI), thereby enabling a quantitative interpretation of degradation mechanisms and accurate capacity estimation. Validated on ternary lithium-ion cells at various current rates, the results demonstrate that the proposed model maintains superior stability under diverse charge/discharge conditions, exhibiting high robustness and strong physical interpretability. This method provides a feasible approach for quantitative degradation analysis and state of health (SOH) estimation under complex conditions, demonstrating significant potential for integration into electric vehicle battery management systems.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 1","pages":"144-158"},"PeriodicalIF":4.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11476954","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced Detection of Metallic Foreign Matter in Lithium-ion Batteries via High-Potential Testing 锂离子电池中金属异物的高电位检测

IF 4

Chinese Journal of Electrical Engineering Pub Date : 2026-03-01 Epub Date: 2026-04-07 DOI: 10.23919/CJEE.2026.000018

Xiangdong Kong;Teng Su;Jingzi Xie;Kuo Yang;Guanqiang Ruan

{"title":"Enhanced Detection of Metallic Foreign Matter in Lithium-ion Batteries via High-Potential Testing","authors":"Xiangdong Kong;Teng Su;Jingzi Xie;Kuo Yang;Guanqiang Ruan","doi":"10.23919/CJEE.2026.000018","DOIUrl":"https://doi.org/10.23919/CJEE.2026.000018","url":null,"abstract":"Foreign matter defects introduced during lithium-ion battery manufacturing are the primary causes of battery failure and thermal runaway, posing significant safety risks. The development of practical and reliable detection methods for such defects is therefore crucial for enhancing overall battery safety and reliability. This paper presents a comprehensive mechanistic investigation aimed at identifying foreign-matter defects using insulation-detection techniques. Finite element modeling was employed to systematically investigate the influence of various types of foreign matter on the electric field distribution and insulation performance of the battery separator. The simulations demonstrated that metallic foreign matter causes localized electric field enhancement and may trigger dielectric breakdown under high-voltage conditions. Based on the simulation results and the corresponding mechanistic analysis, an innovative detection method utilizing high-potential testing protocols is proposed. This approach leverages the characteristic voltage changes associated with defect-induced short circuits for precise identification. Comparative evaluations show that the proposed method significantly outperforms conventional techniques, achieving a 41.7% higher detection rate for metallic foreign matter and exhibiting strong potential for real-time integration into manufacturing quality control systems.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 1","pages":"159-170"},"PeriodicalIF":4.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11476955","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Battery Health Monitoring Under Multi-Dynamic Operating Conditions Based on Fused-Model 基于融合模型的多动态工况下电池健康监测

IF 4

Chinese Journal of Electrical Engineering Pub Date : 2026-03-01 Epub Date: 2026-04-07 DOI: 10.23919/CJEE.2025.000115

Aihua Tang;Wenxi Hu;Rui Xiong;Yuchen Xu;Xin Yang

{"title":"Battery Health Monitoring Under Multi-Dynamic Operating Conditions Based on Fused-Model","authors":"Aihua Tang;Wenxi Hu;Rui Xiong;Yuchen Xu;Xin Yang","doi":"10.23919/CJEE.2025.000115","DOIUrl":"https://doi.org/10.23919/CJEE.2025.000115","url":null,"abstract":"Accurate monitoring of the state of health (SOH) of lithium-ion batteries is vital for electric vehicles. However, it faces considerable challenges owing to the uncertainty of operating conditions and limited computational power available on board. An efficient method is introduced for estimating the SOH of a battery under multi-dynamic operating conditions using a fused-model approach. First, this method is based on the electrochemical theory and a simplified electrochemical model is established to characterize the physicochemical reactions in the battery. Second, the areas of voltage and state of charge errors under different aging cycles are adopted as the aging features, whereas the model parameters remained constant. Integrating these features with those that responded to the dynamic operating conditions resulted in more stable fused features under multi-dynamic operating conditions. Finally, the multiple fused features are used as inputs to a support vector regression model, enabling precise SOH estimation under diverse dynamic operating conditions. This framework is highly generalizable without the need to update the model parameters or use complex algorithms, and the computational effort is sufficiently small to achieve accurate estimation results, with a root mean square error and mean absolute error consistently within 1%.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 1","pages":"12-22"},"PeriodicalIF":4.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11476953","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Simulink-Based Electrothermal Coupling Simulation Analysis of Lithium-Ion Batteries Under Overcharge Conditions 基于simulink的锂离子电池过充条件下电热耦合仿真分析

IF 4

Chinese Journal of Electrical Engineering Pub Date : 2026-03-01 Epub Date: 2026-04-07 DOI: 10.23919/CJEE.2026.000010

Yixuan Wang;Xinxin Ou;Junwei Wei;Yang Jin;Huyun Sun;Donghai Yang;Xin Jiang

{"title":"Simulink-Based Electrothermal Coupling Simulation Analysis of Lithium-Ion Batteries Under Overcharge Conditions","authors":"Yixuan Wang;Xinxin Ou;Junwei Wei;Yang Jin;Huyun Sun;Donghai Yang;Xin Jiang","doi":"10.23919/CJEE.2026.000010","DOIUrl":"https://doi.org/10.23919/CJEE.2026.000010","url":null,"abstract":"Overcharging-induced thermal runaway in lithium-ion batteries is the primary cause of battery safety issues in lithium battery energy storage power stations. This study conducted a 100 A overcharge experiment with a <tex>$280 mathrm{A}cdot mathrm{h}$</tex> lithium-ion battery to obtain voltage and temperature data from the process from overcharge to thermal runaway. Using a Simulink first-order resistor-capacitor equivalent circuit model of the battery and the internal heat generation mechanism of lithium batteries, as well as utilizing state of charge (SOC) to construct a segmented fault heat generation model, the abnormal heat release characteristics of lithium batteries under normal and extreme overcharge conditions are investigated with a temperature-triggered thermal convection heat dissipation module. Dynamic tracking of the increase in battery thermal runaway temperature is achieved. The model simulated rates of <tex>$1 C$</tex> and <tex>$0.5C$</tex> for a 100 <tex>$mathrm{A}cdot mathrm{h}$</tex> battery, with accuracy validated against relevant experiments. Simulations using different rates on the <tex>$280 mathrm{A}cdot mathrm{h}$</tex> battery explored the relationship between the peak thermal runaway temperature, time to peak temperature, and SOC. Temperature-voltage errors across different specifications and rates in both experiments and simulations are within reasonable ranges. The constructed model accurately reflects the electrothermal coupling characteristics at each stage of the thermal runaway process.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 1","pages":"73-92"},"PeriodicalIF":4.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11476984","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Three-Port DCX-Based High Step-Down DC-DC Converter 基于三端口dxx的高降压DC-DC转换器

IF 4

Chinese Journal of Electrical Engineering Pub Date : 2026-03-01 Epub Date: 2025-08-27 DOI: 10.23919/CJEE.2025.000120

Yuanchi Zhang;Zewei Li;Ziming Wang;Xu Zhang;Yan Xing;Hongfei Wu

引用次数: 0

Comprehensive Review of Finite-Control-Set Model Predictive Control Methods for Permanent-Magnet Synchronous Motors 永磁同步电机有限控制集模型预测控制方法综述

IF 4

Chinese Journal of Electrical Engineering Pub Date : 2026-03-01 Epub Date: 2026-04-07 DOI: 10.23919/CJEE.2025.000175

Bo Wang;Shi Jin;Peng Sun;Guangwei Liu

引用次数: 0

Image Recognition Method for Gas and Liquid Emissions from Electrochemical Energy Storage Cabins Based on an Improved SSD Algorithm 基于改进SSD算法的电化学储能舱气体和液体排放图像识别方法

IF 4

Chinese Journal of Electrical Engineering Pub Date : 2026-03-01 Epub Date: 2026-04-07 DOI: 10.23919/CJEE.2026.000023

Li Jin;Junkun Zhang;Ertao Lei;Quanhui Li;Kai Ma;Haoyang Fang;Qifu Lu

{"title":"Image Recognition Method for Gas and Liquid Emissions from Electrochemical Energy Storage Cabins Based on an Improved SSD Algorithm","authors":"Li Jin;Junkun Zhang;Ertao Lei;Quanhui Li;Kai Ma;Haoyang Fang;Qifu Lu","doi":"10.23919/CJEE.2026.000023","DOIUrl":"https://doi.org/10.23919/CJEE.2026.000023","url":null,"abstract":"This study addresses the issue of inadequate safety-monitoring methods for lithium-ion battery energy storage systems. An image recognition approach based on a single-shot multibox detector (SSD) algorithm is proposed for detecting gas-liquid emissions within electrochemical energy storage compartments. An experimental platform is developed to simulate the actual operating conditions of lithium-ion battery storage units, and a dataset is constructed from the image data capturing gas-liquid emissions during the overcharging stage. To overcome the limitation of the original SSD algorithm, which features an excessively large model scale that restricts real-time detection, several modifications were implemented: the Visual Geometry Group (VGG) backbone is replaced with MobileNet-V3 to enhance computational efficiency; the squeeze-and-excitation (SE) attention module is substituted with the Coordinate Attention (CA) module to enhance feature extraction capabilities; and mean clustering optimization is applied to refine the default box scale sizes based on the dataset. The experimental results show that the improved SSD model achieves a 92.2% reduction in model size (from 91.9 MB to 7.2 MB), with a 1.54% increase in average accuracy (from 90.38% to 91.92%). The prediction speed increased from 15 to 58 frames per second (FPS), meeting the real-time detection requirements for lithium-ion battery energy storage compartments.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 1","pages":"185-193"},"PeriodicalIF":4.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11476958","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enabling Stable Electrode|Electrolyte Interfaces via Electrolyte Regulation for High-Voltage Lithium-ion Batteries 通过电解液调节实现高压锂离子电池稳定的电极|电解液界面

IF 4

Chinese Journal of Electrical Engineering Pub Date : 2026-03-01 Epub Date: 2026-04-07 DOI: 10.23919/CJEE.2026.000006

Tao Liu;Yating Yu;Chunxing Zhang;Zhen Chen

{"title":"Enabling Stable Electrode|Electrolyte Interfaces via Electrolyte Regulation for High-Voltage Lithium-ion Batteries","authors":"Tao Liu;Yating Yu;Chunxing Zhang;Zhen Chen","doi":"10.23919/CJEE.2026.000006","DOIUrl":"https://doi.org/10.23919/CJEE.2026.000006","url":null,"abstract":"Despite their long cycle life and safety, the energy densities of conventional lithium-ion batteries (LIBs) remain inadequate for use in long-range electric vehicles. Increasing the charging cut-off voltage enhances the energy density but is limited by the oxidative instability of conventional carbonate electrolytes at high voltages. To address this issue, we enhanced the electrochemical stability of carbonate-based electrolytes by incorporating a lithium salt, lithium difluorophosphate (LiPO<inf>2</inf>F<inf>2</inf>), with film-forming additives such as fluoroethylene carbonate (FEC) and vinylene carbonate (VC). The additives synergistically form robust cathode electrolyte interface and solid electrolyte interphase layers, suppressing interfacial reactions and polarization to improve high-voltage performance. Benefiting from the synergistic interfacial regulation enabled by LiPO<inf>2</inf>F<inf>2</inf> and FEC/VC, Li||LiNi<inf>0.8</inf>Co<inf>0.1</inf>Mn<inf>0.1</inf>O<inf>2</inf> (NCM811) cells exhibited a 23.8% improvement in capacity retention after 300 cycles within a voltage range of 3 V-4.5 V. More importantly, under commercially relevant conditions using graphite (Gr) and NCM811 electrodes, the modified electrolyte enabled the Gr||NCM811 pouch cells to deliver a remarkable improvement of 73% in capacity retention after 200 cycles. The electrolyte additive strategy reported herein not only offers new insights into interfacial stabilization for both anode and cathode electrodes but also offers a simple, scalable, and practical approach toward enabling the commercialization of high-voltage and high-energy-density LIBs.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"12 1","pages":"1-11"},"PeriodicalIF":4.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11476959","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148519130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Expansion Planning of Photovoltaic-Storage for Distribution Networks Based on Distributionally Robust Optimization 基于分布鲁棒优化的配电网光伏储能扩容规划

IF 3.5

Chinese Journal of Electrical Engineering Pub Date : 2025-12-01 DOI: 10.23919/CJEE.2025.000113

Shuncheng Liu;Yudong Xie;Zhuohan Jiang;Rongyao Chu;Jiayan Liu;Yong Li;Chang Li

{"title":"Expansion Planning of Photovoltaic-Storage for Distribution Networks Based on Distributionally Robust Optimization","authors":"Shuncheng Liu;Yudong Xie;Zhuohan Jiang;Rongyao Chu;Jiayan Liu;Yong Li;Chang Li","doi":"10.23919/CJEE.2025.000113","DOIUrl":"https://doi.org/10.23919/CJEE.2025.000113","url":null,"abstract":"A large proportion of distributed photovoltaic (DPV) and energy storage equipment is gradually being integrated into distribution networks, which increases the complexity of distribution network planning. To achieve flexible and efficient utilization of energy storage and DPV, a distributionally robust optimization expansion planning method for distribution networks based on Kullback-Leibler (KL) divergence is proposed. First, considering the power-flow, radial network, and energy storage constraints, a stochastic optimization planning model is established to minimize the cost of distribution network planning. Subsequently, the fuzzy sets of the DPV output based on KL divergence are embedded into the stochastic optimization planning model. This transforms it into a min-max-min three-level two-stage distributionally robust optimization model that can better balance economy and stability. Finally, the model is solved using the column-and-constraint generation (C&CG) method. The effectiveness and feasibility of the proposed model and algorithm are validated using an improved IEEE 33-node system.","PeriodicalId":36428,"journal":{"name":"Chinese Journal of Electrical Engineering","volume":"11 4","pages":"163-175"},"PeriodicalIF":3.5,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11338765","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145915575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0