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学者姓名：张红光
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Abstract ：
High-temperature heat pumps (HTHPs) provide a powerful solution to access carbon-free thermal energy from the renewables. Refrigerants have a central place in HTHP design. This study explored the thermodynamic characteristics of ideal refrigerants that produce the ultimate performance benchmarks defined by fluid universal behaviors quantitatively and qualitatively. A systematic analytic framework is constructed based on the principle of corresponding states. Through the parametric characterization of refrigerants, the corresponding ideal refrigerants are identified from the comprehensive refrigerant space by using a heuristic algorithm. Various operating conditions and scenarios are incorporated with two competing indicators, namely, coefficient of performance (COP) and volumetric heating capacity (VHC), employed separately to determine the ideal refrigerants. A holistic sensitivity analysis of the characteristic parameters is performed. Moreover, the macro behaviors and qualitative features of the ideal refrigerants are also analyzed. Results show that in addition to evaluation criteria, subcooling has a clear influence on the ideal refrigerant characteristics. Under COP, the ideal refrigerants in small subcooling exhibit a nearly isentropic fluid characteristic; while those in large subcooling manifest a dry fluid characteristic. Apart from the critical temperature, the contrasting preference in the ideal gas heat capacity is responsible for the inherent trade-off between COP and VHC in large subcooling.
Keyword ：
Optimization Optimization Thermodynamic characteristics Thermodynamic characteristics Refrigerants Refrigerants High temperature heat pumps High temperature heat pumps Principle of corresponding states Principle of corresponding states
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| GB/T 7714 | Yan, Yinlian , Yang, Fubin , Zhang, Hongguang et al. Investigation on thermodynamic characteristics of refrigerants for high temperature heat pumps based on the principle of corresponding states [J]. | APPLIED THERMAL ENGINEERING , 2025 , 270 . |
| MLA | Yan, Yinlian et al. "Investigation on thermodynamic characteristics of refrigerants for high temperature heat pumps based on the principle of corresponding states" . | APPLIED THERMAL ENGINEERING 270 (2025) . |
| APA | Yan, Yinlian , Yang, Fubin , Zhang, Hongguang , Wang, Nanqiao , Ge, Zhong , Li, Jian . Investigation on thermodynamic characteristics of refrigerants for high temperature heat pumps based on the principle of corresponding states . | APPLIED THERMAL ENGINEERING , 2025 , 270 . |
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Abstract ：
Solid oxide fuel cells (SOFCs) are an effective and sustainable energy conversion technology. As operating temperatures decrease, metal interconnects and supports are widely employed in SOFCs. It is critical to apply a protective coat on ferritic stainless steel (FSS) to suppress Cr evaporation and element interdiffusion under high temperatures. Electrophoretic deposition (EPD) is a promising approach for depositing metal oxides on FSS substrate. Here, a method based on 3D multi-physical simulation and orthogonal experimental design was proposed to optimize deposition parameters, including applied voltage, deposition time, and electrode distance. The EPD process to deposit Mn1.5Co1.5O4 particles in a suspension of ethanol and isopropanol was simulated and the effects of these three factors on the film thickness and uniformity were analyzed. The results indicate that applied voltage has the greatest impact on deposition thickness, followed by deposition time and electrode distance. Meanwhile, deposition time exhibits a more significant effect on film unevenness than applied voltage. Additionally, the particle-fluid coupling phenomenon was analyzed during the EPD process. In practice, these deposition parameters must be selected appropriately and the deposition time must be controlled to obtain a uniform coating. The proposed method can reduce cost and shorten the design period.
Keyword ：
electrophoretic deposition electrophoretic deposition orthogonal experiment orthogonal experiment solid oxide fuel cell solid oxide fuel cell multi-physical simulation multi-physical simulation Mn1.5Co1.5O4 powder Mn1.5Co1.5O4 powder
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| GB/T 7714 | Zhou, Yaqin , Mao, Jingwen , Wang, Enhua et al. Parameters Optimization for Electrophoretic Deposition of Mn1.5Co1.5O4 on Ferritic Stainless Steel Based on Multi-Physical Simulation [J]. | JOURNAL OF THE ELECTROCHEMICAL SOCIETY , 2024 , 171 (6) . |
| MLA | Zhou, Yaqin et al. "Parameters Optimization for Electrophoretic Deposition of Mn1.5Co1.5O4 on Ferritic Stainless Steel Based on Multi-Physical Simulation" . | JOURNAL OF THE ELECTROCHEMICAL SOCIETY 171 . 6 (2024) . |
| APA | Zhou, Yaqin , Mao, Jingwen , Wang, Enhua , Zhang, Hongguang . Parameters Optimization for Electrophoretic Deposition of Mn1.5Co1.5O4 on Ferritic Stainless Steel Based on Multi-Physical Simulation . | JOURNAL OF THE ELECTROCHEMICAL SOCIETY , 2024 , 171 (6) . |
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Abstract ：
Lithium-ion battery disposal is becoming an increasingly important issue with the rapid growth of Electric Vehicles (EVs) regarding resource conservation and environmental sustainability. It is considered the most suitable solution to reuse rather than dispose of retired batteries. However, the precision in estimating the battery states is of great importance to ensure the operational safety and efficiency of reused battery packs. This study proposes a joint estimation method to predict the State of Charge (SOC) and the peak power capability for reused battery packs considering inconsistency. The primary content of this work is described as follows. (1) This paper designs an improved screening method for evaluating the consistency of the reused batteries that are used to connect to the series battery pack. (2) A second-order RC model is selected as the cell mean model (CMM) to represent the overall performance of the reused battery pack. On this basis, the mean SOC is estimated by using Sage-Husa adaptive algorithm and extended Kalman filter (SH-AEKF), whereas the peak power capability is evaluated by considering multiple limitations. (3) An experiment is conducted to evaluate the robustness of the joint estimation method. The results show that the maximum absolute error of SOC estimation is below +/- 3 % while the mean absolute percentage error (MAPE) of peak power capability estimation could be limited to less than 3.5 %. This study indicates the high accuracy and reliability of the proposed joint estimation method for retired battery packs.
Keyword ：
Battery pack Battery pack Screening method Screening method Peak power capability Peak power capability Reused battery Reused battery State of charge State of charge
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| GB/T 7714 | Zhang, Yujie , Liu, Baicheng , Zhang, Hongguang et al. Joint estimation of SOC and peak power capability for series reused battery pack based on screening process method [J]. | ENERGY , 2024 , 313 . |
| MLA | Zhang, Yujie et al. "Joint estimation of SOC and peak power capability for series reused battery pack based on screening process method" . | ENERGY 313 (2024) . |
| APA | Zhang, Yujie , Liu, Baicheng , Zhang, Hongguang , Kuang, Rao , Xu, Yonghong , Zhang, Jian et al. Joint estimation of SOC and peak power capability for series reused battery pack based on screening process method . | ENERGY , 2024 , 313 . |
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Abstract ：
This paper proposed a single-piston free piston expander-linear generator (SFPE-LG) prototype applied to organic Rankine cycle systems. Two valve timing control strategies, namely, time control strategy (TCS) and position control strategy (PCS), were developed. Based on the experimental data, a back propagation neural network (BPNN) prediction model was established. The effects of structural parameters such as neural network layers, transfer function, training function, hidden layer nodes, and learning rate on the prediction accuracy of this BPNN model were discussed. The training and prediction accuracy of the BPNN model was verified using 5-fold cross-validation and Wilcoxon signed-rank test. Moreover, the BPNN model was integrated with a genetic algorithm to predict and optimize the maximum output power of the SFPE-LG. The results showed that the BPNN model used to predict the motion characteristics and output performance of the SFPE-LG exhibits strong learning ability and high prediction accuracy. Notably, the prediction accuracy of the BPNN model is significantly higher under the PCS compared to TCS. The effect of hidden layer nodes on mean square error (MSE) and correlation coefficient (R) is greater than that of the learning rate. When the number of hidden layer nodes exceeds 30, the BPNN model consistently achieves low MSE and high R. The optimization results showed that the SFPE-LG can obtain a maximum output power of 141.69 W under the TCS, when the working parameters are inlet pressure of 0.7 MPa, intake duration of 35 ms, load resistance of 67 omega, and expansion duration of 104 ms, respectively.
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| GB/T 7714 | Li, Jian , Zuo, Zhengxing , Jia, Boru et al. Performance Prediction and Optimization of Single-Piston Free Piston Expander-Linear Generator Based on Machine Learning and Genetic Algorithm [J]. | INTERNATIONAL JOURNAL OF ENERGY RESEARCH , 2024 , 2024 . |
| MLA | Li, Jian et al. "Performance Prediction and Optimization of Single-Piston Free Piston Expander-Linear Generator Based on Machine Learning and Genetic Algorithm" . | INTERNATIONAL JOURNAL OF ENERGY RESEARCH 2024 (2024) . |
| APA | Li, Jian , Zuo, Zhengxing , Jia, Boru , Feng, Huihua , Zhang, Hongguang , Mei, Bingang . Performance Prediction and Optimization of Single-Piston Free Piston Expander-Linear Generator Based on Machine Learning and Genetic Algorithm . | INTERNATIONAL JOURNAL OF ENERGY RESEARCH , 2024 , 2024 . |
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Abstract ：
The organic Rankine cycle (ORC) system is an important technology for recovering energy from the waste heat of internal combustion engines, which is of significant importance for the improvement of fuel utilization. This study analyses the performance of vehicle ORC systems and proposes a rapid optimization method for enhancing vehicle ORC performance. This study constructed a numerical simulation model of an internal combustion engine-ORC waste heat recovery system based on GT-Suite software v2016. The impact of key operating parameters on the performance of two organic Rankine cycles: the simple organic Rankine cycle (SORC) and the recuperative organic Rankine cycle (RORC) was investigated. In order to facilitate real-time prediction and optimization of system performance, a data-driven rapid prediction model of the performance of the waste heat recovery system was constructed based on an artificial neural network. Meanwhile, the NSGA-II multi-objective algorithm was used to investigate the competitive relationship between different performance objective functions. Furthermore, the optimal operating parameters of the system were determined by utilizing the TOPSIS method. The results demonstrate that the highest thermal efficiencies of the SORC and RORC are 6.21% and 8.61%, respectively, the highest power outputs per unit heat transfer area (POPAs) are 6.98 kW/m2 and 8.99 kW/m2, respectively, the lowest unit electricity production costs (EPC) are 7.22 x 10-2 USD/kWh and 3.15 x 10-2 USD/kWh, respectively, and the lowest CO2 emissions are 2.85 ton CO2,eq and 3.11 ton CO2,eq, respectively. The optimization results show that the RORC exhibits superior thermodynamic and economic performance in comparison to the SORC, yet inferior environmental performance.
Keyword ：
genetic algorithm genetic algorithm organic Rankine cycle organic Rankine cycle neural network neural network performance analysis and optimization performance analysis and optimization vehicle engine vehicle engine
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| GB/T 7714 | Wang, Xin , Chen, Xia , Xing, Chengda et al. Performance Analysis and Rapid Optimization of Vehicle ORC Systems Based on Numerical Simulation and Machine Learning [J]. | ENERGIES , 2024 , 17 (18) . |
| MLA | Wang, Xin et al. "Performance Analysis and Rapid Optimization of Vehicle ORC Systems Based on Numerical Simulation and Machine Learning" . | ENERGIES 17 . 18 (2024) . |
| APA | Wang, Xin , Chen, Xia , Xing, Chengda , Ping, Xu , Zhang, Hongguang , Yang, Fubin . Performance Analysis and Rapid Optimization of Vehicle ORC Systems Based on Numerical Simulation and Machine Learning . | ENERGIES , 2024 , 17 (18) . |
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Abstract ：
Accurately estimating the state of charge (SOC) and state of power (SOP) of the battery is essential for optimizing the use of electric quantity and ensuring the safe and efficient operation and energy management of the battery system of electric vehicles. In this paper, a particle swarm optimization algorithm is used to identify the model parameters of lithium-ion batteries under wide temperature range, and a SOC estimation method of adaptive cubature Kalman filter algorithm based on singular value decomposition (SVD-ACKF) is proposed. The Cholesky decomposition of covariance of state variables is replaced by singular value decomposition, which successfully avoids the problem of the non-positive definite matrix during the adaptive updating of the cubature Kalman filter algorithm, and improves the convergence stability of the iterative computation process. Based on accurate SOC estimation at each temperature, the key constraints in this study are composed of the combination of the SOC, voltage, and current of the battery, and changes in battery model parameters due to ambient temperature are considered, developing an SOP estimation strategy under multi-constraint conditions, realizing the joint estimation of SOC and SOP, verifying the feasibility of the proposed state estimation algorithm in different ambient temperatures. The results show that the maximum error of SOC estimation under different ambient temperatures is less than 0.015, and the SOC estimation error of the proposed method is the smallest compared with the extended Kalman filter (EKF) and the cubature Kalman filter (CKF), and the average relative errors of peak charge power and peak discharge power estimation with a duration of 30 s at 25 degrees C can be kept within 2.5% and 1.5%, respectively. It is proved that the proposed method has good accuracy and adaptability.
Keyword ：
State of charge State of charge State of power State of power Lithium-ion batteries Lithium-ion batteries SVD-ACKF algorithm SVD-ACKF algorithm
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| GB/T 7714 | Wang, Shuo , Xu, Yonghong , Zhang, Hongguang et al. An adaptive cubature Kalman filter algorithm based on singular value decomposition for joint estimation of state of charge and state of power for lithium-ion batteries under wide temperature range [J]. | IONICS , 2024 , 31 (1) : 345-365 . |
| MLA | Wang, Shuo et al. "An adaptive cubature Kalman filter algorithm based on singular value decomposition for joint estimation of state of charge and state of power for lithium-ion batteries under wide temperature range" . | IONICS 31 . 1 (2024) : 345-365 . |
| APA | Wang, Shuo , Xu, Yonghong , Zhang, Hongguang , Kuang, Rao , Zhang, Jian , Liu, Baicheng et al. An adaptive cubature Kalman filter algorithm based on singular value decomposition for joint estimation of state of charge and state of power for lithium-ion batteries under wide temperature range . | IONICS , 2024 , 31 (1) , 345-365 . |
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Abstract ：
Compressed air energy storage will have good development prospects because of its exceptional safety and reliability, low economic cost, zero carbon emissions, and pollution-free environmentally friendly characteristics, which meet the needs of sustainable and green development. In view of the problems of large volume, great number of equipment, and poor flexibility of traditional compressed air energy storage equipment, this article built a compressed air experimental bench based on pneumatic motor and conducted integrated pneumatic motor compression/expansion experiments. The effects of key parameters such as speed, torque and current on the performance of pneumatic motor under different modes are investigated, providing reference for the application and promotion of small compressed air energy storage systems. The results indicate that in the expansion mode of the pneumatic motor, the total efficiency and power output of the motor can reach up to 14.01 % and 1257.87 W. Its high power output and economic operation are concentrated within the medium range of rotation speed and current, respectively, with a certain cooling effect achieved in this mode. In compression mode, the maximum output power of the motor can reach 3696.33 W, while the energy efficiency is up to 78.39 %. The operating parameters such as torque and current are basically positively correlated with the system performance parameters. The integrated system is flexible, saves space, and has certain feasibility.
Keyword ：
Parameter performance Parameter performance Integrated compression and expansion Integrated compression and expansion Compressed air energy storage Compressed air energy storage Pneumatic motor Pneumatic motor
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| GB/T 7714 | Zheng, Hao , Xu, Yonghong , Zhang, Hongguang et al. Performance study of integrated compressor/expander based on small-scale compressed air energy storage system [J]. | JOURNAL OF ENERGY STORAGE , 2024 , 105 . |
| MLA | Zheng, Hao et al. "Performance study of integrated compressor/expander based on small-scale compressed air energy storage system" . | JOURNAL OF ENERGY STORAGE 105 (2024) . |
| APA | Zheng, Hao , Xu, Yonghong , Zhang, Hongguang , Zhang, Jian , Yang, Fubin , Yang, Hailong et al. Performance study of integrated compressor/expander based on small-scale compressed air energy storage system . | JOURNAL OF ENERGY STORAGE , 2024 , 105 . |
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Abstract ：
为在能源动力学科领域培养德才兼备的高水平人才，北京工业大学车辆动力装置余热回收与电动化技术团队将研究生培养、思政教育与科研团队建设有机结合，进行十五年的探索与实践，如三全育人抓落实、胸怀大局真育才、校友资源强助力、吴仲华奖树标杆，及早为研究生的学业发展注入驱动力或强化责任感、重视培养研究生的批判性思维能力、尊重研究生的科研工作与研究成果、倡导和谐的团队氛围和风清气正的团队文化、构建混合型研究团队以及强化学术道德建设和研究生心理建设等。通过团队师生的共同努力，在研究生思政教育、研究生培养质量、科研成果等方面都取得明显的成效，科研团队建设进入良性发展轨道。
Keyword ：
科研团队建设 科研团队建设 思政教育 思政教育 研究生培养 研究生培养 能源动力学科 能源动力学科 三全育人 三全育人
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| GB/T 7714 | 张红光 , 王焱 , 杨富斌 et al. 能源动力学科研究生培养、思政教育与科研团队建设有机结合——基于十五年的探索 [J]. | 高教学刊 , 2023 , 9 (32) : 36-39 . |
| MLA | 张红光 et al. "能源动力学科研究生培养、思政教育与科研团队建设有机结合——基于十五年的探索" . | 高教学刊 9 . 32 (2023) : 36-39 . |
| APA | 张红光 , 王焱 , 杨富斌 , 姚宝峰 , 许永红 , 平旭 . 能源动力学科研究生培养、思政教育与科研团队建设有机结合——基于十五年的探索 . | 高教学刊 , 2023 , 9 (32) , 36-39 . |
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Abstract ：
Micro compressed air energy storage systems are a research hotspot in the field of compressed air energy storage technology. Compressors and expanders are the core equipment for energy conversion, and their performance has a significant impact on the performance of the entire compressed air energy storage system. Scroll compressors have the advantages of small size, low noise, light weight, low vibration, long service life, continuous and stable gas transmission, and reliable operation. This article builds a micro compressed air energy storage system based on a scroll compressor and studies the effects of key parameters such as speed, torque, current, and storage tank pressure on the temperature difference, pressure ratio, energy consumption, and efficiency of the scroll compressor. The experimental results indicate that the power consumption of the scroll compressor shows an increasing trend with the increase in current, torque, and gas storage tank pressure. The isentropic efficiency of a scroll compressor shows a decreasing trend with increasing current, torque, and storage tank pressure. The maximum values of power consumption and isentropic efficiency of the scroll compressor are 3427 W and 90.8%, respectively.
Keyword ：
performance output performance output scroll compressor scroll compressor compressed air energy storage compressed air energy storage energy conversion efficiency energy conversion efficiency power consumption power consumption
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| GB/T 7714 | Fang, Juan , Xu, Yonghong , Zhang, Hongguang et al. Experimental Research on the Output Performance of Scroll Compressor for Micro Scale Compressed Air Energy Storage System [J]. | SUSTAINABILITY , 2023 , 15 (21) . |
| MLA | Fang, Juan et al. "Experimental Research on the Output Performance of Scroll Compressor for Micro Scale Compressed Air Energy Storage System" . | SUSTAINABILITY 15 . 21 (2023) . |
| APA | Fang, Juan , Xu, Yonghong , Zhang, Hongguang , Yang, Zhi , Wan, Jifang , Liu, Zhengguang . Experimental Research on the Output Performance of Scroll Compressor for Micro Scale Compressed Air Energy Storage System . | SUSTAINABILITY , 2023 , 15 (21) . |
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Abstract ：
This study aims to improve the fuel economy of extended range electric vehicles (EREVs) and reduce the cumulative battery workload. Energy management strategy (EMS) of EREVs has a significant impact on improving the energy efficiency, prolonging the service life of batteries, and reducing the fuel consumption. To the best knowledge of the authors, most of existing studies are aimed at optimizing fuel economy, but few researches have taken the service life of the battery into account while improving fuel economy. Our study reflects the power fluctuation range of the battery from the perspective of the battery current, and also further analyzes it from the perspective of the battery energy flow. On the premise of meeting the vehicle power requirement, matrix calculation studies are carried out on the transmission ratio and the key parameters of EMS in the cooperative operation mode of hybrid energy storage system (HESS) based on regular EMS and auxiliary power unit (APU) based on equivalent fuel consumption minimum strategy (ECMS). Via Simulink software, the corresponding vehicle EMS model is developed, and the joint simulation platform of AVL Cruise and Simulink is constructed to verify the effectiveness of the proposed EMS. In order to further tap the energy-saving potential of the proposed strategy based on HESS, the multi-island genetic algorithm is adopted. Under WLTP working condition, the global optimization is conducted with the objectives of minimizing the equivalent fuel consumption and the cumulative ampere-hour through the battery when the vehicle adopts HESS and APU & ECMS operate in concert operation mode. The correlation analysis of the optimization variables is performed. The results show that the fuel economy of the optimized operation mode under WLTP condition is increased by 4.49 %, and the cumulative ampere-hour through the battery is reduced by 11.37 %.
Keyword ：
Hybrid energy storage system Hybrid energy storage system Fuel economy Fuel economy Energy management strategy Energy management strategy Multi island genetic algorithm Multi island genetic algorithm Multi objective optimization Multi objective optimization Extended range electric vehicles Extended range electric vehicles
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| GB/T 7714 | Xu, Yonghong , Zhang, Hongguang , Yang, Yifan et al. Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm [J]. | JOURNAL OF ENERGY STORAGE , 2023 , 61 . |
| MLA | Xu, Yonghong et al. "Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm" . | JOURNAL OF ENERGY STORAGE 61 (2023) . |
| APA | Xu, Yonghong , Zhang, Hongguang , Yang, Yifan , Zhang, Jian , Yang, Fubin , Yan, Dong et al. Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm . | JOURNAL OF ENERGY STORAGE , 2023 , 61 . |
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