Article
Chemistry, Multidisciplinary
Ionut Victor Voicu, Florin Bode, Wassim Abboud, Hasna Louahlia, Hamid Gualous, Mihnea Sandu, Ilinca Nastase
Summary: This paper investigates the thermal transfer in a module of supercapacitors (SCs) with a novel arrangement. Experimental and numerical results show that the location and current of SCs have an impact on the temperature, providing valuable insights for improving the thermal design of SCs.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Physical
S. Rodosik, J. -P. Poirot-Crouvezier, Y. Bultel
Summary: The novel Alternating Fuel Feeding (AFF) architecture combines the benefits of hydrogen recirculation and Dead-End Anode (DEA) simplicity, reducing cost and system complexity. Research shows that the degradation rates of stack performance are similar in both AFF and recirculation modes, with more heterogeneous cell degradation observed in recirculation mode.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Chemistry, Physical
Long Q. Le, Carolina Herradon Hernandez, Marcos Hernandez Rodriguez, Liangzhu Zhu, Chuancheng Duan, Hanping Ding, Ryan P. O'Hayre, Neal P. Sullivan
Summary: This study demonstrates the scaling up of proton-conducting ceramic fuel cells (PCFCs) into small, multi-cell stacks with reasonable performance and low degradation through material tuning, fabrication procedures, and operating condition adjustments. Specific materials such as the BCZYYb electrolyte and the BCFZY cathode, as well as packaging with ferritic-steel interconnects and macor frames, contribute to the long-term durability and performance of the fuel cell stacks.
JOURNAL OF POWER SOURCES
(2021)
Article
Thermodynamics
Lei Huang, Xuexia Zhang, Yu Jiang, Ping Huang, Long Lin
Summary: Ambient temperature is a significant factor in the performance degradation of proton exchange membrane fuel cell stacks. A long-term durability test was conducted to investigate the degradation behavior and mechanism, revealing that catalyst layer deterioration is the main cause of degradation under the designed operating conditions. A semi-empirical model coupled with relative humidity affected by ambient temperature was proposed to evaluate degradation under dynamic conditions.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Electrical & Electronic
Toshiki Mii, Hitoshi Sakane, Shunta Harada, Masashi Kato
Summary: We analyzed the carrier lifetime in a drift layer of 1.2 kV-class SiC p-n diodes to suppress bipolar degradation. The study found that a carrier lifetime shorter than 10 ns is required, with a 1/e2 lifetime obtained by mu-PCD measurements should be shorter than 7.2 ns. Experimental results showed that carrier lifetime control alone is insufficient to completely suppress bipolar degradation, and a combination of other methods is necessary.
MATERIALS SCIENCE IN SEMICONDUCTOR PROCESSING
(2023)
Article
Energy & Fuels
Jiangyun Zhang, Qinchao Zhang, Guoqing Zhang, Youpeng Chen, Sizhi Liu, Liqin Jiang
Summary: This study analyzed the electrochemical-heat generation behaviors of hybrid supercapacitors (HSCs) and compared their characteristics with lead-acid and LiFePO4 batteries. The results showed that HSCs exhibited better performance at low temperatures, with higher capacity retention rate and lower fuel consumption compared to lithium cells.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Lijun Zhou, Jun Zhang, Zhixin Li, Rongting Wen, Dongyang Wang, Jiekang Wu, Huiling Tang
Summary: Frequency domain dielectric spectroscopy (FDS) is used to reflect the aging status of silicone oil-immersed insulation paper. In this study, an evaluation method was developed by analyzing the aging kinetic model and FDS results. The method includes separating different polarization losses and conductivity loss from FDS results, modifying the zero order aging dynamic model, and proposing an evaluation method for the degree of polymerisation (DP) of silicone oil-immersed paper. Experiments were conducted to verify the proposed method, and the results showed its effectiveness.
Article
Nanoscience & Nanotechnology
Fei Yu, Jialun Li, Yi Jiang, Liying Wang, Xijia Yang, Xuesong Li, Wei Lu, Xiaojuan Sun
Summary: Improving the performance of flexible supercapacitors in low-temperature environments using solar thermal energy. The capacitance of the supercapacitor was greatly enhanced by the photothermal conversion ability of carbonized melamine sponge, and the addition of surface plasmonic nanomaterials further improved the performance. This study provides new insights on the application of solar energy and the design of energy storage devices with excellent low-temperature resistance.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Chemistry, Physical
H. S. Sumantha, S. Rajagopal, M. Shashank, G. Nagaraju, Vinayak K. Pattar, Pavithra Shanmugaraj, Sakunthala Ayyasamy, B. L. Suresha
Summary: The trimanganese tetraoxide (Mn3O4) nanoparticles were synthesized by solution combustion method and their relationship with fuel ratio was studied. The results showed that the Mn3O4 nanoparticles exhibited excellent photocatalytic and electrochemical properties, making them suitable for energy storage applications.
Review
Energy & Fuels
Cheikh Tidiane Sarr, Mamadou Bailo Camara, Brayima Dakyo
Summary: This paper investigates the characterization and modeling of supercapacitors considering the influence of intermittent current's ripple rate, temperature, and cycling factor. The proposed model accurately describes the degradation of supercapacitor parameters due to intermittent current and temperature, validated through experimental tests and simulations.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Environmental Sciences
Brian D. Etz, Maleigh Mifkovic, Shubham Vyas, Manoj K. Shukla
Summary: This study analyzed the high-temperature degradation of a truncated trimethylsiloxane (TriSil-1n) surfactant and found that the degradation products of TriSil-1n are relatively less harmful to the environment compared to PFAS incineration/combustion products from previous research, supporting the replacement of PFAS with TriSil surfactants.
Article
Energy & Fuels
Jikai Zhang, Changjian Wang, Aifeng Zhang
Summary: The performance of an open-cathode proton exchange membrane fuel cell stack under thermal radiation was evaluated in this study. The results showed that, although thermal radiation can improve the stack temperature, it does not improve the overall performance of the stack. In fact, the stack power decreases and the stack fails to run continuously under higher radiant heat flux, higher load current, and lower air velocity.
Article
Thermodynamics
Jianfei Zheng, Jincheng Ren, Jianxun Zhang, Hong Pei, Zhengxin Zhang
Summary: This paper proposes an iterative method for predicting the standby system's lifetime (SSL) by considering the storage degradation of spare parts. The operating and storage degradation processes are described, and an iterative solution for SSL prediction is provided.
Article
Electrochemistry
M. K. S. Verma, R. S. Patil, S. Bharathraj, S. P. Adiga, K. S. Mayya
Summary: Despite limitations in practical capacity and stability, a new strategy is proposed to increase the silicon content and achievable specific capacity of silicon-based anodes. By limiting anode utilization, it is possible to minimize degradation and achieve higher specific capacities. Through a comprehensive analysis of lithiation rates, particle fracture, and electrode swelling limits, it is suggested that this strategy can result in specific capacities greater than 1100 Ah/Kg while eliminating degradation.
ELECTROCHIMICA ACTA
(2023)
Article
Thermodynamics
Xiaolong Liu, Xinran Li, Ya Meng, Changqin Chen, Yang Yang
Summary: The paper proposes an improved wavelet packet decomposition method for the hybrid energy storage system (HESS), which adjusts the number of wavelet packet layers in real time using a fuzzy control algorithm to achieve adaptive power fluctuation. The method also improves stability by allocating secondary output power based on the charge state of lithium-ion batteries and supercapacitors (SCs).
INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES
(2022)
Article
Computer Science, Information Systems
Kaiyang Liu, Jun Peng, Boyang Yu, Weirong Liu, Zhiwu Huang, Jianping Pan
Summary: This paper introduces a cloud service framework based on instance reservation, proposing two algorithms for minimizing the cost of HPC services in distributed data centers. Additionally, a novel resource sharing mechanism is extended through cloud broker federation to address underutilized capacity issues in single data center instance reservations.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Automation & Control Systems
Heng Li, Jun Peng, Jianping He, Zhiwu Huang, Jing Wang, Liang He, Jianping Pan
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2020)
Article
Automation & Control Systems
Heng Li, Xiaoyong Zhang, Jun Peng, Jianping He, Zhiwu Huang, Jing Wang
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2020)
Article
Engineering, Electrical & Electronic
Hongtao Liao, Jun Peng, Yue Wu, Heng Li, Yanhui Zhou, Xiaoyong Zhang, Zhiwu Huang
Summary: An adaptive frequency-split-based quantitative power allocation strategy was proposed in this article, integrating the advantages of two classical power allocation methods. It effectively suppresses DC bus voltage fluctuations and protects batteries, as confirmed by extensive experiments.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Engineering, Mechanical
Rui Zhang, Jun Peng, Bin Chen, Kai Gao, Yingze Yang, Zhiwu Huang
Summary: This paper proposes a novel active braking control system for high-speed trains, which can significantly improve safety performance. By introducing a prescribed performance function and an unscented Kalman filter, an effective control method is developed to estimate and adjust wheel-rail adhesion.
Article
Engineering, Multidisciplinary
Fu Jiang, Bowen Liu, Heng Li, Hongtao Liao, Hang Zhang, Xianqi Lu, Jun Peng, Zhiwu Huang
Summary: This article proposes a method for detecting false data injection attacks in cooperative charging systems. By analyzing the time-frequency features of charger currents and using a Kalman filter, the proposed method can effectively detect false data injection attacks.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Kaiyang Liu, Jun Peng, Jingrong Wang, Jianping Pan
Summary: This paper proposes novel caching schemes to achieve low latency in distributed coded storage systems. An offline caching scheme explores the optimal caching solution for low latency, while an online caching scheme adjusts in real time based on measured data popularity and network latency information, without completely overriding existing caching decisions.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2022)
Article
Engineering, Electrical & Electronic
Xin Gu, Jun Peng, Lin Cai, Yijun Cheng, Xiaoyong Zhang, Weirong Liu, Zhiwu Huang
Summary: This paper presents an analytical model for the sensing-based semi-persistent scheduling (SPS) in cellular vehicle-to-everything (C-V2X) networks, which quantifies the impacts of beacon rate, range settings, and system configuration on access collision probability and delay outage probability. The analytical model provides important insights and guideline for optimizing protocol parameters and maintaining high-reliability and low-latency services.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Kaiyang Liu, Jun Peng, Jingrong Wang, Zhiwu Huang, Jianping Pan
Summary: In this paper, adaptive and scalable caching schemes are proposed to achieve low latency in the cloud-edge storage system. An adaptive content replacement scheme is proposed to update caching decisions based on measured data popularity and network latencies in real time. The experimental results based on Amazon Simple Storage Service demonstrate the effectiveness and efficiency of the design.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Energy & Fuels
Yongjie Liu, Zhiwu Huang, Liang He, Jianping Pan, Heng Li, Jun Peng
Summary: This paper proposes a temperature-aware charging strategy with adaptive current sequences for lithium-ion batteries, which improves charging performance in cold environments by adjusting the charging scheme based on battery temperature and state of charge. Results show that this strategy reduces charging time, slows down capacity decay, and decreases self-heating time compared to existing methods.
Article
Computer Science, Information Systems
Kaiyang Liu, Jun Peng, Jingrong Wang, Boyang Yu, Zhuofan Liao, Zhiwu Huang, Jianping Pan
Summary: Low-latency data service is increasingly important for data center applications. Proper data placement helps reduce data movement delay and service latency. Existing data placement solutions often assume prior knowledge of data request distribution or discover it via trace analysis. We propose DataBot+, a reinforcement learning-based framework that can automatically learn optimal data placement policies. Evaluation results driven by real-world traces demonstrate the effectiveness of our design.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Computer Science, Information Systems
Bin Chen, Zhiwu Huang, Rui Zhang, Weirong Liu, Heng Li, Jing Wang, Yunsheng Fan, Jun Peng
Summary: The paper proposes a data-driven Koopman model based predictive control method for automatic train operation systems of high-speed trains. The method includes building a Koopman model to characterize train dynamics, designing a model predictive controller, and developing an online update mechanism to cope with changing dynamic characteristics. Comparative simulation results validate the effectiveness of the proposed control approach.
