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学者姓名：王亚雄
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Abstract ：
This study proposes a variable nozzle turbine (VNT)-based air compressor system that recovers energy from high-power vehicular fuel cell exhaust to reduce parasitic power and enhance efficiency. The system utilizes exhaust gas kinetic energy to drive a turbine connected to a high-speed compressor motor via the main shaft. By dynamically adjusting the nozzle opening degree (NOD), the turbine optimizes exhaust flow area and backpressure, maximizing energy recovery power across operating conditions. Simultaneously, regulating the oxygen excess ratio (OER) ensures optimal cathode oxygen supply for the proton exchange membrane fuel cell (PEMFC). A control-oriented model capturing VNT-based air compressor and PEMFC coupling dynamics is developed and validated. Multi-start sequential quadratic programming identifies optimal OER trajectories that minimize compressor motor power while maintaining electrochemical performance. To track the target, a linear parameter variation adaptive model predictive control is implemented. Relationships between NOD, OER, and PEMFC power characteristics are embedded in a control-oriented model validated through map testing. The proposed strategy demonstrates superior OER tracking under dynamic loads like the China Heavy-duty Truck Cycle. The integrated system is 3.5788% higher than fixed-OER strategies with delivering 20.5028 kWh net energy output, it demonstrating effective coordination of energy recovery and oxygen regulation. © 2025 Wiley-VCH GmbH.
Keyword ：
adaptive model predictive control strategy adaptive model predictive control strategy air compressor air compressor efficiency improvement efficiency improvement energy recovery energy recovery variable nozzle turbine variable nozzle turbine
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| GB/T 7714 | Ou, K. , Su, M. , Wu, Y. et al. Variable Nozzle Turbine-Based Air Compressor Energy Recovery From High-Power Fuel Cell System Exhaust via Adaptive Model Predictive Control [J]. | Advanced Sustainable Systems , 2025 . |
| MLA | Ou, K. et al. "Variable Nozzle Turbine-Based Air Compressor Energy Recovery From High-Power Fuel Cell System Exhaust via Adaptive Model Predictive Control" . | Advanced Sustainable Systems (2025) . |
| APA | Ou, K. , Su, M. , Wu, Y. , Guo, X. , Zhang, X. , Wang, Y.-X. . Variable Nozzle Turbine-Based Air Compressor Energy Recovery From High-Power Fuel Cell System Exhaust via Adaptive Model Predictive Control . | Advanced Sustainable Systems , 2025 . |
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With the widespread adoption of electric vehicles (EVs) and energy storage in renewable energy systems, the use of lithium-ion batteries has increased significantly, making the battery safety performance a primary concern. The accurate state of charge (SOC) estimation can help mitigate the safety risks for the utilisation of EVs and renewable energy systems. Due to the dynamic and non-linear properties of batteries, an adaptive online SOC estimation is proposed in this paper by combining the online parameters estimation using equivalent circuit model (ECM) and the improved particle filter (PF) algorithm. It firstly deduces ECM parameters equations using bilinear transformation with the elimination of the variation caused by the ambient temperature. Then, the seeker optimization algorithm (SOA)-based fixed-length weighted least square (LS) algorithm is introduced to online estimate the battery parameters accurately. With the established ECM, the battery SOC can be estimated by the improved genetic algorithm (IGA) resampling-based PF algorithm, which effectively alleviates the particle degeneracy problem during the estimation, consequently, offering a better performance in SOC estimation. Both simulations and experiments have been conducted to validate the effectiveness of the proposed method. Compared with other existing algorithms, it shows that the proposed algorithm can accurately model the battery with the root mean squared error (RMSE) <0.1 % and achieve the real-time SOC estimation with less computation burden and high accuracy.
Keyword ：
Batteries Batteries Equivalent circuit model Equivalent circuit model Genetic algorithm Genetic algorithm Parameter estimation Parameter estimation Particle filter algorithm Particle filter algorithm State of charge State of charge
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| GB/T 7714 | Lin, Qiongbin , Hong, Huiyang , Huang, Ruochen et al. An adaptive hybrid approach for online battery state of charge estimation [J]. | JOURNAL OF ENERGY STORAGE , 2025 , 115 . |
| MLA | Lin, Qiongbin et al. "An adaptive hybrid approach for online battery state of charge estimation" . | JOURNAL OF ENERGY STORAGE 115 (2025) . |
| APA | Lin, Qiongbin , Hong, Huiyang , Huang, Ruochen , Fan, Yuhang , Chen, Jia , Wang, Yaxiong et al. An adaptive hybrid approach for online battery state of charge estimation . | JOURNAL OF ENERGY STORAGE , 2025 , 115 . |
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从性能需求与技术现状等角度,综述了载运工具用燃料电池空气压缩机的研究进展,总结了离心式空气压缩机的关键部件参数优化设计、机电耦合控制、加工制造和性能测试等技术,并展望了燃料电池空气压缩机技术未来的发展方向.研究结果表明:燃料电池空气压缩机需满足大流量与快速响应等要求;当前,两级离心式空气压缩机流量与压力等特性可满足5～350 kW燃料电池系统供氧需求,最高转速可达1.0×10 5 r·min-1,零转速到怠速的响应时间为秒级;叶轮、扩压器、箔片气体动压轴承等关键部件的参数可采用优化算法进行设计以提高空气压缩机气动性能;为降低驱动电机的转速与转矩波动,离心式空气压缩机机电耦合控制可采用电流环解耦控制和无传感控制等方法以提高空气压缩机的动态响应能力;为保证离心式空气压缩机高速运转下的气动性能和系统稳定性,高精度三元叶轮加工主要通过五轴数控机床铣削实现,箔片气体动压轴承的涂层常采用固体润滑与等离子喷射工艺;燃料电池空气压缩机还需开展流量、压比、效率等特性与启停、寿命等耐久性的指标测试以综合评价其性能;目前,空气压缩机气动性能测试标准与试验方法较为完备,但耐久性相关的测试和评价方法还需进一步完善;未来,随着对可持续交通解决方案需求的不断增长,载运工具用燃料电池空气压缩机技术将朝着集成轻量化与智能化等方向发展.
Keyword ：
优化设计 优化设计 机电耦合控制 机电耦合控制 燃料电池 燃料电池 空气压缩机 空气压缩机 载运工具 载运工具 需求分析 需求分析
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| GB/T 7714 | 欧凯 , 胡皓文 , 吴雨衡 et al. 载运工具用燃料电池空气压缩机技术综述 [J]. | 交通运输工程学报 , 2025 , 25 (1) : 66-93 . |
| MLA | 欧凯 et al. "载运工具用燃料电池空气压缩机技术综述" . | 交通运输工程学报 25 . 1 (2025) : 66-93 . |
| APA | 欧凯 , 胡皓文 , 吴雨衡 , 郭轩 , 杨新荣 , 张前 et al. 载运工具用燃料电池空气压缩机技术综述 . | 交通运输工程学报 , 2025 , 25 (1) , 66-93 . |
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Fuel cells are developing towards high power output. As a key auxiliary component of fuel cell systems, adopting a turbine-based air compressor combined with energy recovery technology can effectively reduce parasitic power consumption. However, the ultra-high speed and expansion torque interference of compressors pose challenges for control and management. To improve the output stability of the air compressor and enhance the system efficiency, a coupling model (mean-relative error of 6.313 %) including the compressor static characteristics and motor dynamics is established, and an optimal sliding mode surface containing all system state matrix and weighted matrix information is designed to achieve compressor superior dynamic and steady-state performance, and an operating strategy of the compressor by regulating oxygen excess ratio is developed to avoid the expansion end working inefficiently. Numerical simulations were conducted under the China heavy-duty commercial vehicle test cycle (CHTC). Compared to traditional methods, the speed control root-mean-square error was reduced by 2.67 %, and the power consumption of the compressor was also lowered. Furthermore, the hardware-in-the-loop test results were in high agreement with the simulations, confirming the feasibility of the proposed controller. The proposed control strategy could significantly improve the performance of the turbinebased air compressor and indicates the practical feasibility.
Keyword ：
Automotive fuel cells Automotive fuel cells China heavy-duty commercial vehicle test cycle China heavy-duty commercial vehicle test cycle (CHTC) (CHTC) Driving cycles analysis Driving cycles analysis Improved optimal sliding mode control Improved optimal sliding mode control (IOSMC) (IOSMC) Operating strategy Operating strategy Turbine-based air compressor Turbine-based air compressor
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| GB/T 7714 | Zhong, Shunbin , Ou, Kai , Jin, Zemin et al. Improved optimal sliding mode control and operating strategy for turbine-based air compressor in automotive fuel cells with driving cycles analysis [J]. | ENERGY , 2025 , 324 . |
| MLA | Zhong, Shunbin et al. "Improved optimal sliding mode control and operating strategy for turbine-based air compressor in automotive fuel cells with driving cycles analysis" . | ENERGY 324 (2025) . |
| APA | Zhong, Shunbin , Ou, Kai , Jin, Zemin , Zhang, Qian , Zhang, Xuezhi , Wang, Ya-Xiong . Improved optimal sliding mode control and operating strategy for turbine-based air compressor in automotive fuel cells with driving cycles analysis . | ENERGY , 2025 , 324 . |
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The oil-free scroll air compressor is a critical component of fuel cell systems. External cooling structures can lower the discharge temperature of scroll air compressors, maintain the purity of compressed air, and facilitate isothermal compression. In this study, a multi-objective optimization design method-based water-cooled scroll plate structure is proposed for the discharge temperature reduction. A complete model of a variable cross-section scroll compressor with a water-cooled scroll plate for simulation analysis is firstly formulated. Based on network thermal resistance and response surface methods, a cooling channel thermal resistance model and a pressure loss model are developed. The water-cooled scroll plate geometry parameters and coolant mass flow rate are optimized by multi-objective genetic algorithm, while the air compressor performance has been simulated. The results show that the coolant mass flow rate has the greatest effect on the pressure loss. The overall performance of Group #3 from Pareto optimal solutions is relatively balanced, demonstrating better heat dissipation capability and lower pressure loss. The discharge temperature was reduced by 24.18 K, the pressure loss was reduced by 3.69 %, and the isentropic efficiency was increased by 10.85 %. Therefore, the proposed water-cooled scroll plate structure and its optimization method can effectively balance the performance of thermal resistance and pressure loss, which is an important way to improve the isothermal compression.
Keyword ：
Isentropic efficiency Isentropic efficiency Multi-objective optimization Multi-objective optimization Pressure loss Pressure loss Response surface method (RSM) Response surface method (RSM) Scroll air compressor Scroll air compressor Thermal resistance Thermal resistance
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| GB/T 7714 | Cai, Zenan , Wu, Yuheng , Chen, Hongfei et al. Design and simulation analysis of water-cooled scroll plate for scroll compressor based on response surface and genetic algorithm [J]. | APPLIED THERMAL ENGINEERING , 2025 , 269 . |
| MLA | Cai, Zenan et al. "Design and simulation analysis of water-cooled scroll plate for scroll compressor based on response surface and genetic algorithm" . | APPLIED THERMAL ENGINEERING 269 (2025) . |
| APA | Cai, Zenan , Wu, Yuheng , Chen, Hongfei , Ou, Kai , Zhang, Xuezhi , Wang, Ya-Xiong . Design and simulation analysis of water-cooled scroll plate for scroll compressor based on response surface and genetic algorithm . | APPLIED THERMAL ENGINEERING , 2025 , 269 . |
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Water-cooled components of air compressor provide a feasible way to improve the performance of automotive fuel cells. Due to the large heat generation during air compression, the efficiency of air compressor is normally not easily enhanced. To recover power and prevent excessive gas temperature, this paper has proposed an optimized water-cooled volute for the turbine-based air compressor used for automotive fuel cells. Firstly, a three-dimensional numerical model of the volute integrated with impeller has been developed, upon comparison with the measured isentropic efficiency and pressure ratio, the mean absolute errors were found to be 0.0669 and 0.0117, respectively. Then, a closed flow passage on the volute outer wall is constructed to form an initial watercooled volute structure. Numerical simulation analysis is then conducted on the initial water-cooled volute under different cooling water inlet conditions. The Box-Behnken method is used to generate the design space for the water-cooled volute structure, and a response surface model is fitted using a second-order function. The response surface model is then used as the objective function of multi-objective genetic algorithm to perform global optimization and generate the Pareto front. The combinations of parameters for the water-cooled volute structures are determined from the optimal solution set. The results showed that the isentropic efficiency of the optimized water-cooled volute was improved by 12.43 % compared to the original volute, and the outlet gas temperature was reduced by 1.29 % compared to the initial water-cooled volute. The proposed water-cooled volute and its design method can enhance the overall performance of the air compressor for automotive fuel cells.
Keyword ：
Box-Behnken design Box-Behnken design Fuel cell air compressor Fuel cell air compressor Isentropic efficiency improvement Isentropic efficiency improvement Multi-objective optimization algorithm Multi-objective optimization algorithm Response surface model Response surface model Water-cooled volute Water-cooled volute
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| GB/T 7714 | Yang, Xinrong , Zhang, Zhihong , Liu, Jinhang et al. Numerical simulation and optimized design of water-cooled volute for turbine-based air compressor used in automotive fuel cells [J]. | APPLIED THERMAL ENGINEERING , 2025 , 273 . |
| MLA | Yang, Xinrong et al. "Numerical simulation and optimized design of water-cooled volute for turbine-based air compressor used in automotive fuel cells" . | APPLIED THERMAL ENGINEERING 273 (2025) . |
| APA | Yang, Xinrong , Zhang, Zhihong , Liu, Jinhang , Ou, Kai , Zhang, Xuezhi , Yang, Jingjing et al. Numerical simulation and optimized design of water-cooled volute for turbine-based air compressor used in automotive fuel cells . | APPLIED THERMAL ENGINEERING , 2025 , 273 . |
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The commercial feasibility of lithium-sulfur (Li-S) batteries is still hindered by three long-standing problems: substantial volumetric expansion of sulfur cathodes during cycling, serious polysulfide shuttle phenomenon, and sluggish redox kinetics. Addressing these limitations through innovative material engineering, this study presents a sustainable approach by developing a novel aqueous multifunctional binder (designated AG-DAA) derived from aloe vera gel crosslinked with d-aspartic acid. The rationally designed AG-DAA binder demonstrates dual functionality to overcome existing barriers. Mechanically, its superior elastic modulus (1.2 GPa) and tensile strength (156 MPa) enable effective accommodation of sulfur cathode volume fluctuations, thereby maintaining structural integrity throughout extended cycling. Chemically, the abundant polar functional groups (-COOH, -OH) facilitate three critical interactions: (1) enhanced Li+ transport through enhanced lithium affinity, (2) strong chemisorption of lithium polysulfides via Lewis acid-base interaction, and (3) catalytic acceleration of sulfur redox reactions. As a result, the AG-DAA based cathode achieves an initial specific capacity of 1130.8 mA h g-1 at 0.5C, maintaining 600.3 mA h g-1 after 500 cycles with a coulombic efficiency exceeding 98.7%. Remarkably, under high-rate conditions (4C), the system demonstrates exceptional stability with capacity retention of 51.3% after 1000 cycles, corresponding to an ultralow cycle degradation rate of 0.049% per cycle representing a 20% improvement over conventional PVDF binders. This investigation establishes a paradigm for eco-friendly binder engineering in Li-S battery systems, demonstrating that rational design of functionalized natural polymers can simultaneously address multiple electrochemical challenges.
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| GB/T 7714 | Wang, Qian , Liu, Shasha , Liang, Feifan et al. A novel aqueous aspartic acid modified biomass binder for high-performance Li-S batteries [J]. | JOURNAL OF MATERIALS CHEMISTRY A , 2025 , 13 (36) : 30254-30264 . |
| MLA | Wang, Qian et al. "A novel aqueous aspartic acid modified biomass binder for high-performance Li-S batteries" . | JOURNAL OF MATERIALS CHEMISTRY A 13 . 36 (2025) : 30254-30264 . |
| APA | Wang, Qian , Liu, Shasha , Liang, Feifan , Wang, Ruiqi , Cai, Xiaoqiang , Wang, Ya-Xiong et al. A novel aqueous aspartic acid modified biomass binder for high-performance Li-S batteries . | JOURNAL OF MATERIALS CHEMISTRY A , 2025 , 13 (36) , 30254-30264 . |
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Fuel cell air compressor is a key enabler of hydrogen-based renewable energy systems as it improves air supply efficiency and stability. This paper first simplifies the gas flow equations, compares ideal gas path elements with circuit elements, and converts the air compressor system transfer function into an interpretable control-oriented energy-circuit-based model, and derives the transfer matrix relating flow and pressure at any position to the initial position using Laplace transforms. The reconstructed model then converts the complex frequency domain system transfer functions into the time-domain form, generating a control-oriented energy-circuit-based model for the proton exchange membrane fuel cell air compressor system to describe the dynamical and dimensional features. Under the current step condition, the energy-circuit-based air compressor system model achieves less than 5 % mean relative error (MRE) in intake manifold pressure and flow. The model-based pressure distribution has a root-mean-squared error (RMSE) and an MRE of 26.5 Pa and 0.01246 % compared to finite element results. Additionally, the energy-circuit-based air compressor system model with surge constraints has been used to develop the model predictive controller which has been further tested under typical simulation conditions. The proposed control strategy demonstrates enhanced transient response and enables the determination of pressure distribution along the pipeline. © 2025 Elsevier Ltd
Keyword ：
Air compressor control Air compressor control Energy-circuit-based modeling Energy-circuit-based modeling Pressure distribution along the pipeline Pressure distribution along the pipeline Proton exchange membrane fuel cell Proton exchange membrane fuel cell Surge-awareness predictive control Surge-awareness predictive control
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| GB/T 7714 | Ou, K. , Ye, W. , Zhang, X. et al. An energy-circuit-based fuel cell air compressor system model reconstruction and predictive control approach [J]. | Renewable Energy , 2025 , 254 . |
| MLA | Ou, K. et al. "An energy-circuit-based fuel cell air compressor system model reconstruction and predictive control approach" . | Renewable Energy 254 (2025) . |
| APA | Ou, K. , Ye, W. , Zhang, X. , Zhang, Q. , Shen, Y. , Wang, Y.-X. . An energy-circuit-based fuel cell air compressor system model reconstruction and predictive control approach . | Renewable Energy , 2025 , 254 . |
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The productive use of renewable energy and growth of electric vehicles (EVs) offer opportunities for sustainable development. Renewable energy systems (RESs) are dispatched by the designed rational energy management strategy (EMS). However, the uncertainties of renewable energy generation and the risk of peak-on-peak like uncontrolled charging loads burden EMS scheduling. This article proposes a two-stage EMS for grid-connected RES considering charging of EVs. The presented microgrid includes photovoltaic system, energy storage battery, base loads, and EVs, and microgrid control centers make decisions. Monte Carlo method is used to describe EVs charging. The Stage 1 of the EMS is an EV sequential charging strategy, taking user convenience, grid load fluctuation, and user charging cost as the objective function, whose weights are assigned by the dynamic weighting method and solved by the improved particle swarm algorithm. Stage 2 is a multi-objective EMS that considers total system operating cost and battery lifetime, which is addressed by the improved grey wolf algorithm combined with the Stage 1 solution. Compared to the normal EMS, in the case study, the proposed strategy could improve the battery lifetime by 72.7 %, and decrease the total system operating cost by 4.8 %. The proposed EMS effectively meets different application scenarios and enhances system economic.
Keyword ：
Electric vehicle Electric vehicle Energy management strategy (EMS) Energy management strategy (EMS) Grid-connected renewable energy system Grid-connected renewable energy system Multi-objective optimization Multi-objective optimization Sequential charging Sequential charging Two-stage EMS Two-stage EMS
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| GB/T 7714 | Fan, Yiying , Yu, Qinggang , Ou, Kai et al. Two-stage energy management for grid-connected renewable energy systems: Sequential electric vehicle charging and co-optimization of economic efficiency and battery lifetime [J]. | JOURNAL OF ENERGY STORAGE , 2025 , 136 . |
| MLA | Fan, Yiying et al. "Two-stage energy management for grid-connected renewable energy systems: Sequential electric vehicle charging and co-optimization of economic efficiency and battery lifetime" . | JOURNAL OF ENERGY STORAGE 136 (2025) . |
| APA | Fan, Yiying , Yu, Qinggang , Ou, Kai , Lin, Qiongbin , Dan, Zhimin , Wang, Ya-Xiong . Two-stage energy management for grid-connected renewable energy systems: Sequential electric vehicle charging and co-optimization of economic efficiency and battery lifetime . | JOURNAL OF ENERGY STORAGE , 2025 , 136 . |
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Lithium-sulfur (Li-S) batteries offer ultra-high theoretical energy density (2600 Wh kg(-)(1)) but face commercialization hurdles from polysulfide shuttling and sulfur flammability. A multifunctional biomass-derived binder by modifying aloevera gel (AG) with phytic acid (PA) is designed for addressing these two issues. The AG-PA binder provides strong mechanical integrity for the sulfur cathode and features N-, O-, and P-rich polar groups that chemically anchor lithium polysulfides (LiPSs) and accelerate Li+ deposition. This enhances LiPSs redox kinetics and suppresses shuttling. Consequently, AG-PA-based Li-S cells deliver a high initial capacity of 776.1 mAh g(-)(1) and retain 527.0 mAh g(-)(1) at 4 C (1 C = 1675 mA g-1) after 1000 cycles (ultralow decay: 0.032% per cycle). Crucially, during combustion, heat decomposes AG-PA's phosphorus groups, generating phosphoric acid and water vapor that form a physical barrier isolating oxygen/heat. Simultaneously, PO radicals scavenge H/HO radicals, quenching chain reactions. This dual-action significantly enhances safety. This work establishes a scalable biomass engineering approach to concurrently boost energy density, cyclability, and safety in Li-S batteries, bridging gaps towards practical deployment.
Keyword ：
binder binder eco-friendly eco-friendly energy storage energy storage flame-retardant flame-retardant Li-S batteries Li-S batteries polysulfides polysulfides
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| GB/T 7714 | Liu, Shasha , Ma, Shuang , Feng, Pingxian et al. Aloe-Derived Sustainable, Aqueous and Flame Retardant Binder Toward High-Performance Li-S Batteries [J]. | ADVANCED ENERGY MATERIALS , 2025 , 15 (32) . |
| MLA | Liu, Shasha et al. "Aloe-Derived Sustainable, Aqueous and Flame Retardant Binder Toward High-Performance Li-S Batteries" . | ADVANCED ENERGY MATERIALS 15 . 32 (2025) . |
| APA | Liu, Shasha , Ma, Shuang , Feng, Pingxian , Liang, Feifan , Cai, Xiaoqiang , Wang, Ya-Xiong et al. Aloe-Derived Sustainable, Aqueous and Flame Retardant Binder Toward High-Performance Li-S Batteries . | ADVANCED ENERGY MATERIALS , 2025 , 15 (32) . |
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