中文核心期刊
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中国化学与物理电源行业协会会刊
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20 July 2026, Volume 50 Issue 7
    

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    Industry Commentary
  • ZHENG Guohua, LUO Han
    Chinese Journal of Power Sources. 2026, 50(7): 1193-1202. https://doi.org/10.3969/j.issn.1002-087X.2026.07.001
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    With the in-depth advancement of the “dual carbon” goals and the accelerated construction of new power systems, enterprises along the new energy vehicle (NEV) industry chain are gradually transitioning from traditional electricity consumers to “energy prosumer.” This paper aimed to systematically investigate the strategic pathways for the integrated layout of source-grid-load-storage(SGLS) within these enterprises. Beginning with SGLS policies and integrating the characteristics of the upstream, midstream, and downstream sectors, this paper provided an in-depth analysis of the diverse energy demands of enterprises across different segments of the industry chain. Through empirical analyses of typical cases such as the Aluminum Corporation of China (Chalco), Sunwoda, Tesla, and TELD, the study revealed how enterprises in various segments achieve cost reduction, decarbonization, and efficiency enhancement via differentiated and scenario-based SGLS integration schemes. The conclusion indicates that the SGLS model is emerging as a vital pathway for the NEV industry chain to realize cost reduction, efficiency enhancement, low-carbon transformation, and energy security. Looking ahead, with the development of virtual power plants (VPP) and vehicle-to-grid (V2G) technology, the NEV industry chain is poised to become a significant regulating resource for new power systems. However, as the window of opportunity for policy dividends gradually narrows, enterprises must rely on advanced digital technologies and data platforms to accelerate strategic implementation. By establishing large-scale layouts as first movers, they can build competitive barriers to adapt to the new challenges arising from power market reform
  • Review
  • HAN Lin, LI Bing, XIONG Qiaopo, NI Wang, LV Zhaochen, LIU Xingjiang
    Chinese Journal of Power Sources. 2026, 50(7): 1203-1216. https://doi.org/10.3969/j.issn.1002-087X.2026.07.002
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    Laser wireless power transmission (LWPT) technology, with its unique advantages such as long-distance transmission, high power density, high efficiency, and no need for physical cables, demonstrates great potential in fields including spacecraft, continuous power supply for unmanned aerial vehicles (UAVs), and space-based solar power stations. As the core component of the LWPT system for receiving light energy and converting it into electricity, the performance of laser photovoltaic cells is the key bottleneck restricting the practical application and overall efficiency of LWPT systems. This paper systematically reviewed the domestic and international research progress of laser photovoltaic cells targeting two key wavelength bands (808 and 1 064 nm), discussed their material systems, structural designs, and performance evolution, and summarized their application characteristics and development trends, aiming to provide references for the research on high-performance laser photovoltaic cells in the future.
  • ZHANG Kaiyi, DENG Yong, WU Lei, ZHENG Fei, ZHANG Xingquan
    Chinese Journal of Power Sources. 2026, 50(7): 1217-1227. https://doi.org/10.3969/j.issn.1002-087X.2026.07.003
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    Solid-state electrolytes are critical components determining the performance and stability of solid-state batteries, yet they face challenges in key parameters, interface impedance, development efficiency, and cost. Herein, their research progress was systematically summarized, covering the physicochemical properties, modification methods, and processing technologies of various electrolyte systems. The application of AI-assisted technologies in their development was discussed, with corresponding solutions proposed for existing bottlenecks. Finally, future directions such as new material design and model optimization were prospected, aiming to provide references for the advancement of solid-state batteries.
  • WU Tao, WANG Yao, LU Yi, LI Xiaofeng, WANG Lei, GUO Lei
    Chinese Journal of Power Sources. 2026, 50(7): 1228-1239. https://doi.org/10.3969/j.issn.1002-087X.2026.07.004
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    In order to cope with the deterioration of climate and environment, it is urgent to replace the existing fossil fuels with clean energy. Recyclable lithium-ion battery, as an important energy storage and power equipment in the field of new energy, has become an indispensable part of our daily life. In the process of battery manufacturing, the binder is a material used to adhere the electrode active material to the electrode current collector, and its performance directly affects the electrochemical performance and stability of the battery. In this paper, the development course, types, characteristics, preparation methods, action mechanism and application of binders were discussed in detail. In addition, the influence of binder on battery performance and its future development trend were also discussed.
  • Research and design: Chemicalpower sources
  • LI Ya’e, MA Xiao, DOU Jinliang, ZHENG Tao, ZHOU Jiang
    Chinese Journal of Power Sources. 2026, 50(7): 1240-1245. https://doi.org/10.3969/j.issn.1002-087X.2026.07.005
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    The delithiation processes and degradation extents of graphite (Gr) and silicon oxide (SiOx) were analyzed through full-cell voltage differential curves to investigate the degradation mechanisms of Gr-SiOx composite anode during high-temperature storage. After four weeks of high-temperature storage, the capacity degraded by 8.03%, with the degradation extents of Gr and SiOx in the negative electrode being 0.87% and 7.16%, respectively. Additionally, the SEI film impedance increased by approximately 617.98%, which was mainly caused by the continuous growth of the SEI film on SiOx particles. Based on the SEM-EDS analysis of the anode, electrolyte decomposition was found to primarily occur on SiOx particles. The results indicate that unstable SiOx in the composite anode exhibits a greater degree of degradation compared with graphite during high-temperature storage. This study enables non-destructive quantitative differentiation between the degradation extents of graphite and SiOx during high-temperature storage, providing significant insights for optimizing the SiOx content in composite anodes to enhance high-temperature storage performance.
  • YANG Haiyang, SUO Rong, YANG Ning, LI Mingxu, ZHANG Qian
    Chinese Journal of Power Sources. 2026, 50(7): 1246-1256. https://doi.org/10.3969/j.issn.1002-087X.2026.07.006
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    This study systematically compared the structural, morphological, and surface functional group properties of high-specific-surface-area acetylene black and oil furnace carbon black, along with their electrochemical performance in lithium-ion batteries. The results indicate that high-specific-surface-area carbon black synthesized via the acetylene method (H-AB) exhibits smaller primary particles, higher specific surface area, greater crystallinity, and richer structure compared with traditional oil-furnace-synthesized carbon black(SP). Furthermore, it possesses fewer surface functional groups, higher purity, and superior conductivity, significantly enhancing the rate performance of batteries. Due to its exceptional conductivity, this material matches the rate performance of SP with a 45% weight reduction, while simultaneously increasing the mass and volumetric specific energy by 3.04% and 1.94%, respectively. Moreover, its high purity, low impurity content, and well-developed porous structure facilitate the adsorption and storage of a greater amount of electrolyte, which significantly enhances the long-term cycling stability of the battery.
  • WU Zhi, CAI Kanghui, WEN Yanxuan, HUANG Rongrong
    Chinese Journal of Power Sources. 2026, 50(7): 1257-1263. https://doi.org/10.3969/j.issn.1002-087X.2026.07.007
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    MnPO4·H2O, a suitable precursor of LiMnPO4/C, was synthesized using a precipitation method with sodium persulfate as the oxidizing agent. A Box-Behnken design (BBD) was used to investigate the effects of four key press parameters on the discharge capacity of LiMnPO4/C at 1 C. The four factors included reaction temperature, reaction time, Mn2+ concentration, and pH. The results indicate that the discharge capacity of LiMnPO4/C fits a quadratic model with respect to these four factors. The quadratic term of reaction temperature and the linear and quadratic terms of Mn2+ concentration have a highly significant effect on the discharge capacity of LiMnPO4/C. Additionally, the linear term of reaction temperature, the quadratic terms of reaction time and pH, and the interaction term between temperature and time also significantly affect discharge capacity. Based on the quadratic model, the optimal press conditions for synthesizing the MnPO4·H2O precursor were a reaction temperature of 90 ℃, a reaction time of 5.20 hours, a Mn²⁺ concentration of 0.47 mol/L, and a pH of 1.13.The LiMnPO4/C prepared from MnPO4·H2O under these optimal conditions delivers a discharge specific capacity of 141.41 mAh/g, agreeing well with the model prediction of 138.30 mAh/g. The capacity retention after 100 cycles at 1 C is 83 %.
  • HE Shaoping, PAN Lei
    Chinese Journal of Power Sources. 2026, 50(7): 1264-1268. https://doi.org/10.3969/j.issn.1002-087X.2026.07.008
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    18650 lithium-ion cells are widely used in portable devices and portable power supplies. Due to the diversity of application environments and the continuous pursuit of endurance, higher requirements are put forward for the specific energy, low-temperature performance, cycle life and safety of 18650 lithium-ion cells. By adding safety additive to the electrolyte, comparing the normal temperature performance, low-temperature performance, cycle life and needle safety of 18650 lithium-ion cells before and after the addition of safety additive, the impact of safety additive on the performance of 18650 cells was discussed. The results show that under the condition of sacrificing certain performance, the safety additive can solve the safety problem of the needle explosion of the 18650 lithium-ion cell.
  • YUAN Zhenrong, HUANG Kefeng, XU Caihua, ZOU Junchao, YAN Jun
    Chinese Journal of Power Sources. 2026, 50(7): 1269-1277. https://doi.org/10.3969/j.issn.1002-087X.2026.07.009
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    The core challenge for the safe operation of large lithium-ion battery energy storage systems lies in the early warning and precise detection of battery cell failures. Traditional methods are mostly based on fixed thresholds, and their detection accuracy typically only reaches the battery cluster level, making it difficult to accurately locate the faulty battery cells and achieve early fault warning. This paper proposed a fault diagnosis method based on a sliding window, which established a hierarchical detection mechanism of “system-battery cluster-cell” to achieve early and precise identification of battery cell failures. The method was validated using 5 months of operational data from an energy storage system in a specific independent microgrid. The results show that, compared with traditional fixed threshold methods, the proposed method can advance fault warning times to the hourly level and accurately locate the faulty cells, demonstrating its effectiveness and engineering application potential. This method provides key technical support for the proactive safety protection systems of energy storage systems.
  • HE Yilong, WANG Yan, ZHANG Zhaozhi, DAI Feng
    Chinese Journal of Power Sources. 2026, 50(7): 1278-1289. https://doi.org/10.3969/j.issn.1002-087X.2026.07.010
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    This study investigated the thermal runaway (TR) behavior and environmental impact of large-capacity prismatic NCM622 lithium-ion battery modules within a confined space. The experiments were performed on a module of three parallel-connected batteries (Bat01, Bat02, Bat03) in a 1.885 m3 sealed constant-volume pressure chamber, utilizing lateral heating (550 W) to trigger thermal runaway. Using multi-parameter sensors, the temperature evolution, thermal propagation, chamber environment, and mass loss were systematically characterized. The results reveal distinct thermal runaway behaviors: Bat01 and Bat02 exhibit a two-stage process, characterized by two violent ejections separated by a plateau, lasting 67 and 95 s, respectively, while Bat03 undergoes a single dominant thermal runaway process lasting 80 s. Thermal propagation rates are recorded at 1.72, 1.09, and 1.94 mm/s, with peak temperature rise rates of 94, 32.1, and 46 ℃/s, respectively. The chamber environment reaches peak parameters at approximately 260 s, with a maximum temperature of 262.8 ℃, pressure of 299.2 kPa, and total substance amount of 70.91 mol. Corresponding mass loss rates for the three batteries are 29.42%, 29.65%, and 27.13%. Energy flow decoupling analysis reveals that inter-cell contact heat conduction is the primary driver of thermal propagation, with a power contribution significantly outweighing that of convective heat transfer. During the triggering phase, external heating accounts for merely 26% of the total energy input, whereas heat transfer from preceding to subsequent cells dominates the cascading failure phase. These quantitative findings confirm that interrupting “solid-solid” thermal bridges is more critical for module safety design than enhancing environmental heat dissipation. These findings provide essential data and theoretical insights for thermal runaway warning systems, safety design, and risk assessment in battery modules.
  • XIE Ping, YANG Ruilin, ZHAO Ruiyang, CHENG Siyu, SUN Jinlei
    Chinese Journal of Power Sources. 2026, 50(7): 1290-1300. https://doi.org/10.3969/j.issn.1002-087X.2026.07.011
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    The current sensor is a critical component of the battery management system (BMS), and its failure will induce significant estimation deviations of battery state of charge (SOC), potentially leading to critical safety issues such as overcharging and overdischarging. Therefore, a fault diagnosis method for current sensors in BMS of battery energy storage systems was proposed in this paper. The proposed method combined the extended Kalman filter (EKF) and the cumulative sum (CUSUM) algorithm to achieve current sensor fault diagnosis. First, a second-order RC equivalent circuit model was established, and the model parameters were identified using the adaptive forgetting factor recursive least square (AFFRLS) algorithm. Subsequently, the EKF algorithm was utilized for battery state estimation, with the load current serving as the measurement vector to generate current residuals. Finally, the residuals were processed with the CUSUM algorithm for cumulative analysis to achieve fault detection. The experimental results under urban dynamometer driving schedule (UDDS) conditions show that the average diagnostic time of this method for fault currents ranging from 0.1 A to 0.4 A is 1 710 s, and 0.4 A fault can be quickly identified within 60 s, verifying the real-time performance and robustness of the method.
  • LIU Guanke, LIU Yang, YIN Zhaoxin, YI Bin, HUANG Yuansheng, QIN Xiaotian
    Chinese Journal of Power Sources. 2026, 50(7): 1301-1308. https://doi.org/10.3969/j.issn.1002-087X.2026.07.012
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    LiFePO4 batteries are widely used in electric vehicles and other fields due to their high safety and long service life. However, accurately estimating their state of energy (SOE) remains a technical challenge. Therefore, a second-order adaptive extended Kalman filter algorithm was adopted to estimate SOE of LiFePO4 batteries. Combining second-order Taylor expansion with an adaptive mechanism, the algorithm effectively addressed disturbances caused by battery model uncertainties and varying operating conditions by adjusting the statistical characteristics of system and measurement noise in real time, thereby improving estimation accuracy. The experimental results demonstrate that, under different temperatures and discharge conditions, the algorithm can accurately track battery SOE variations, with estimation errors consistently remaining below 3%, significantly outperforming traditional methods. This research provides robust support for precise management and efficient utilization of LiFePO4 batteries, enhancing the accuracy of electric vehicle range prediction and overall battery system performance.
  • GENG Mengmeng, FAN Maosong, GAO Zitong, ZHENG Xulin, BAI Jingjing
    Chinese Journal of Power Sources. 2026, 50(7): 1309-1320. https://doi.org/10.3969/j.issn.1002-087X.2026.07.013
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    This study proposed and validated a non-destructive method for estimating the internal temperature of lithium-ion batteries by integrating electrochemical impedance spectroscopy (EIS) with deep learning techniques. EIS data of a 105 Ah lithium iron phosphate (LFP) battery were systematically collected under various states of charge (SOC) and ambient temperature conditions. Based on the frequency-temperature correlation, frequency points that are highly sensitive to temperature yet minimally affected by SOC were selected, and the real part, imaginary part, magnitude, and phase angle of the impedance at these frequencies were extracted as multidimensional input features. On this basis, a regression framework combining the local feature extraction capability of a convolutional neural network (CNN) with the temporal modeling ability of a bidirectional long short-term memory network (BiLSTM) was developed to achieve accurate prediction of the internal temperature. Experimental results show that the proposed method achieves an internal temperature estimation error (RMSE) of less than 1.2 ℃ on unseen test data, demonstrating excellent accuracy and generalization performance. Compared with conventional approaches such as embedded temperature sensors, the proposed method offers advantages of non-invasiveness, robustness against SOC variation, and superior engineering applicability.
  • LI Wei, HAO Shengfeng, ZHANG Minghua, ZHANG Yong, CAO Yanan, WANG Minghao, ZHANG Liqiang
    Chinese Journal of Power Sources. 2026, 50(7): 1321-1330. https://doi.org/10.3969/j.issn.1002-087X.2026.07.014
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    Accurate estimation of state of health (SOH) and remaining useful life (RUL) of lithium-ion batteries is crucial for the efficiency and safety of energy storage devices. To address the problems of complex EIS analysis and poor engineering applicability in existing EIS-based SOH estimation methods, a joint estimation algorithm based on GRN-LSTM-Transformer was proposed. The method screened 40 impedance features highly correlated with SOH between 0.04 Hz and 3.16 Hz band from EIS data of 0.01 Hz-10 kHz via Spearman correlation analysis. It used CNN to extract local features, combined Transformer and LSTM to build a joint estimation network, and introduced GRN to enhance nonlinear processing capability, with SOH=80% as the threshold for RUL determination. By validating on the KIT battery dataset and LIR2032 coin cell dataset, the model achieves SOH prediction results with RMSE of less than 0.008 and R2 exceeding 0.90. Compared with traditional models like LSTM, it has higher accuracy, accurately captures battery degradation trends, and smaller RUL prediction errors, providing an efficient and practical innovative solution for battery SOH-RUL joint estimation.
  • LIANG Hai, PANG Chao, DING Shuang, LIU Lian
    Chinese Journal of Power Sources. 2026, 50(7): 1331-1336. https://doi.org/10.3969/j.issn.1002-087X.2026.07.015
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    This study employed ReaxFF molecular dynamics simulations to investigate the dynamic growth of the solid electrolyte interphase (SEI) on the lithium metal anode-electrolyte interface. The effects of lithium salt concentration, fluorine content, and external stress on SEI structural evolution and properties were systematically examined. Multiple electrolyte models were constructed to analyze key parameters such as SEI thickness, mass density, charge distribution, and multilayer structure. The results indicate that high salt concentration and increased fluorine content promotes the formation of a denser, more uniform SEI, suppresses thickness growth, and enhances inorganic component accumulation in the inner layer. External pressure further improves SEI compactness and structural stability. Moreover, EC/FEC-based electrolytes facilitate the formation of a flat and homogeneous SEI, which helps suppress lithium dendrite formation. This study provides atomic-scale insights into SEI formation mechanisms and structural regulation, offering theoretical guidance for optimizing lithium metal battery interfaces and electrolyte formulations.
  • YI Zhichao, DENG Xiwen, JIA Dewen, LIU Yi, LEI Jilin
    Chinese Journal of Power Sources. 2026, 50(7): 1337-1347. https://doi.org/10.3969/j.issn.1002-087X.2026.07.016
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    To further enhance the operational efficiency of proton exchange membrane fuel cell (PEMFC), a spiral flow channel structure was proposed, and the effects of catalyst layer thickness and platinum (Pt) loading characteristics on its performance were investigated. The spiral flow channel achieved a low oxygen distribution non-uniformity of 28.1% at 0.4 V, with the current density reaching 1.26 A/cm² under low pressure drop conditions, representing improvements of 7.98% and 6.07% over conventional parallel and serpentine flow channels, respectively. After analyzing the impact of platinum loading distribution on cell performance, a non-uniform loading strategy was proposed. With the total platinum dosage unchanged, the cell current density at 0.4 V increased to 1.45 A/cm2, a 15% improvement over the uniform loading scheme. When the spiral flow channel was coupled with this strategy, the cell current density increased by a further 24.3% and 22.1% compared with conventional parallel and serpentine flow channels, respectively. This research provides a viable technical pathway for the efficient design of PEMFCs.
  • WANG Xin, ZHANG Da
    Chinese Journal of Power Sources. 2026, 50(7): 1348-1356. https://doi.org/10.3969/j.issn.1002-087X.2026.07.017
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    To address the problem of performance degradation, system instability, and reduced service life in proton exchange membrane fuel cell (PEMFC) stacks during long-term operation caused by complex coupled physical-chemical mechanisms, this paper proposed a degradation-trend prediction framework that integrates multi-source feature modeling with deep sequential learning. The framework employed an improved state-space modeling network Mamba2 to enhance the depth of temporal modeling, and combined a structurally optimized Informer with a temporal Kolmogorov-Arnold network (TKAN) to improve its ability to represent highly nonlinear degradation relationships. By leveraging a multi-scale causal convolution module (MSCConv) together with an adaptive multi-head attention mechanism (AMHA), the model effectively fused features across different time scales. Validation using operational data from a 110 kW PEMFC stack demonstrates the hybrid model’s effectiveness: it achieves a coefficient of determination (R2) of 0.996 4, mean absolute error (MAE) of 0.001 856, and root mean square error(RMSE) of 0.002 6. These results confirm its strong robustness and high predictive accuracy.
  • XIAN Lidong, YANG Handi, CHENG Zhijiang, ZHOU Peiyi
    Chinese Journal of Power Sources. 2026, 50(7): 1357-1365. https://doi.org/10.3969/j.issn.1002-087X.2026.07.018
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    To address the issue of limited dynamic performance in power distribution of fuel cell/supercapacitor hybrid power systems under frequent load power fluctuations, a distributed adaptive hybrid droop control power distribution strategy based on model predictive control (MPC) was proposed. By constructing a mathematical model of the hybrid power system composed of fuel cells and supercapacitors, virtual impedance control was introduced to achieve a reasonable distribution of their power. On this basis, an MPC controller was used to dynamically and in real time adjust the virtual resistance values on the fuel cell side, while collaboratively regulating the virtual capacitance parameters on the supercapacitor side, thereby realizing adaptive matching and optimization of the virtual impedances of both. The experimental results show that under load power step changes of 5 and 10 s, the proposed strategy significantly reduces the overshoot of the output current from both the fuel cell and supercapacitor, shortens the adjustment time, and effectively enhances the system’s dynamic response speed, demonstrating excellent dynamic performance.
  • ZHU Xianfa, LI Bin, JIANG Keke, YANG Mingjun, ZHANG Liangyi
    Chinese Journal of Power Sources. 2026, 50(7): 1366-1371. https://doi.org/10.3969/j.issn.1002-087X.2026.07.019
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    The design of flow fields in the reaction zone and the flow rate control strategy critically impact the economic viability and operational reliability of flow battery stacks. Focusing on the all-vanadium redox flow battery (VRFB) system, this work systematically investigated the optimization of flow field design and flow strategies for large-scale stacks from three key perspectives: the reaction zone flow field, electrolyte utilization, and electrochemical polarization characteristics. The mechanism by which flow rate affects concentration polarization (hconc) was elucidated. The findings provide a theoretical foundation and an optimization pathway for flow control in the engineering application of large-scale flow battery stacks.
  • Research and design: Physical power sources
  • LIU Chunhua, CHEN Zhining, ZOU Shichun, SU Bin
    Chinese Journal of Power Sources. 2026, 50(7): 1372-1376. https://doi.org/10.3969/j.issn.1002-087X.2026.07.020
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    With the rapid development of aerospace technology in China, the demand for power of large spacecraft is increasing gradually. Usually, solar arrays are the main source of electrical energy for spacecraft. To meet the power supply requirements, developing high-power, high-voltage, and light-weight solar arrays has become one of the important research directions at present. Solar cells are the power generation units in solar arrays. High-power solar arrays generally consist of tens of thousands of solar cells, accounting for a large proportion of the total weight. Therefore, the application of thin solar cells can effectively reduce the weight of solar arrays. In this paper, considering the high-orbit operating environment of spacecraft, test panels of solar array were designed using 80 μm triple-junction GaAs solar cells. Application verification tests on electrostatic discharge and thermal cycling were carried out, and the results were analyzed. The results show that the solar array panels designed in this paper possess good anti-electrostatic discharge capability and resistance to temperature alternation. This research result provides a reference for the design and development of high-orbit thin triple-junction GaAs solar arrays.
  • ZHOU Liping, WU Hengfei, LIU Ying, ZOU Lianli, JING Maoxiang, RUAN Dianbo
    Chinese Journal of Power Sources. 2026, 50(7): 1377-1384. https://doi.org/10.3969/j.issn.1002-087X.2026.07.021
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    Supercapacitors have become essential devices for energy storage and conversion due to their high specific power and long service life. However, liquid organic electrolytes often cause safety issues such as leakage and corrosion. This study developed a simple and efficient in-situ gelation technique for preparing polymer-based semi-solid supercapacitors. The method utilized aluminum trifluoromethanesμLfonate [Al(OTF)3] to initiate the ring-opening polymerization of 1,3-dioxolane (DOL), transforming the DOL/dimethoxyethane(DME) liquid electrolyte into a high-viscosity gel electrolyte. This created an integrated structure with continuous ion transport channels between the active electrode and gel electrolyte. The effects of different DOL/DME volume ratios on the electrochemical performance and structure of the supercapacitors were investigated. The results show that the gel electrolyte prepared with jDOL/jDME=2:1 exhibits superior electrochemical performance, achieving an ionic conductivity of 6.37×10-4 S/cm at 25 °C. The assembled activated carbon supercapacitor maintains 98.45% capacity retention after 20 000 cycles at a current density of 2 A/g, demonstrating excellent cycling stability. This method provides a novel and practical strategy for constructing high-performance, high-stability flexible gel supercapacitors.