Article
Automation & Control Systems
Xiang Meng, Qi Li, Tao Huang, Xiaofeng Wang, Guorui Zhang, Weirong Chen
Summary: This study introduces the electricity generation system MFCS and control strategy for hydrogen EMU trains, proposing a distributed performance consensus control strategy. Through experiments, the effectiveness and robustness of the strategy are verified, demonstrating superiority over traditional strategies.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Automation & Control Systems
Yu Yan, Qi Li, Wenqiang Huang, Weirong Chen
Summary: This article proposes a global optimal operation and control method based on the fuel cell/supercapacitor hybrid tram, which achieves online control of the tram through speed optimization with minimal energy consumption and hybrid system control with minimal hydrogen consumption, significantly impacting hydrogen consumption and output volatility of the fuel cell system.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Thermodynamics
Jianjun Hu, Zhouxin Wang, Hao Du, Lingbo Zou
Summary: This paper proposes a hierarchical energy management strategy for a composite energy storage system composed of fuel cell (FC), battery (BAT), and ultracapacitor (UC) in electric vehicles. The strategy aims to improve system performance and maximize the lifetime of the system. Simulation and experimental results demonstrate that the proposed strategy outperforms traditional dynamic programming strategy in terms of life mileage.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Shahid Hassan Mian, Muhammad Saqib Nazir, Iftikhar Ahmad, Safdar Abbas Khan
Summary: Hybrid electric vehicles are becoming popular due to the depletion of fossil fuels and the importance of utilizing renewable energy sources. This study presents an optimized nonlinear controller for a hybrid energy storage system in hybrid electric vehicles, and uses gray wolf optimization algorithm for controller optimization. Experimental data and simulation results demonstrate that the proposed optimized system improves performance.
Article
Green & Sustainable Science & Technology
Bingcong Jian, Hanqing Wang
Summary: This paper proposes a model for the power system of a Fuel Cell Electric Vehicle (FCEV) and validates it using Hardware-in-the-Loop (HIL) real-time emulation. The model utilizes a Multi-stack Fuel Cell (MFC) system for redundancy and a Nickel-metal Hydride (NiMH) battery pack as the secondary energy source. Close loop control strategies and a Rule-based Energy Management Strategy (REMS) are developed for stability and power distribution. The proposed model and method effectively operate the MFC system in high efficiency and maintain the Desired State of Charge (SOC) for the battery pack.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Electrical & Electronic
Yuchen He, Qichen Yang, Yuan Li, Sanghun Kim, Fang Zheng Peng, Matthew Bosworth, Lu Wang, Zhiyang Jin, Yanjun Shi, Nash Bonaventura, Michael Steurer, Chunmeng Xu, Lukas Graber
Summary: The dc circuit breaker plays a vital role in dc network systems. Hybrid circuit breakers, which combine mechanical and solid-state switches, are more suitable for dc distribution networks due to their lower conduction losses and faster interrupt speeds. The efficient energy dc interrupter with surge protection (EDISON) reduces conduction losses during normal operations by removing any solid-state circuit in the main current path. However, a dedicated control system with fast dynamics is required to prevent commutation failures and potential unquenchable arcs caused by false triggers of the mechanical switch or solid-state switches.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Energy & Fuels
Maissa Daoud, Mohamed Ghorbel, Hassene Mnif
Summary: This letter presents a new hardware approach utilizing intelligent system design and CMOS transistor-based digital circuits to manage energy storage sources. It is tailored for low power biomedical devices, particularly implantable biosensors, and effectively prolongs battery life span.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Thermodynamics
Yue Zhou, Hussein Obeid, Salah Laghrouche, Mickael Hilairet, Abdesslem Djerdir
Summary: This paper proposes a novel control strategy for a single converter hybrid power system, aiming to smooth the current of PEMFC while considering transient power and sinusoidal disturbance from the load. A robust nonlinear cascaded voltage control loop is developed, using different controllers for inner and outer voltage loops. Comparative Hardware-in-the-loop (HIL) tests confirm the effectiveness of this nonlinear control strategy.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Dafa Jiang, Yuan Long, Peng Fu, Chang Guo, Yanli Tang, Hai Huang
Summary: This paper proposes a novel multi-stack fuel cell hybrid system energy management strategy to improve the fuel cell durability. The proposed method reduces the fuel cell degradation degree and improves the operating pressure.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Engineering, Electrical & Electronic
Yuxiang Zhang, Rui Ma, Dongdong Zhao, Yigeng Huangfu, Weiguo Liu
Summary: A multi-level energy management strategy is proposed in this article to improve the energy utilization rate of the fuel cell hybrid electric vehicle (FCHEV). The strategy includes the establishment of a system overall efficiency optimization model and the use of an instantaneous optimal search algorithm to design the corresponding load demand power distribution strategy. Experimental results and vehicle driving tests confirm that the proposed energy management strategy can optimize the overall efficiency of the FCHEV hybrid power system, which contributes to the application of FCHEVs.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Electrical & Electronic
Qi Li, Puren Liu, Xiang Meng, Guorui Zhang, Yuxuan Ai, Weirong Chen
Summary: This article proposes an energy management strategy based on model predictive control, which improves the efficiency of fuel cell hybrid systems and reduces operating costs. The strategy takes into account the degradation of power sources and is verified through experiments.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Electrical & Electronic
Luccas M. Kunzler, K. S. Amitkumar, Luiz A. C. Lopes, Pragasen Pillay, Jean Belanger
Summary: This paper proposes a machine emulation system based on a Hybrid Power Amplifier, which combines parallel Linear Power Amplifiers and Switch-Mode Power Amplifiers to achieve a compromise between performance and cost. A new current control scheme is introduced to reduce the required current rating and lower the cost. The design procedure for the control scheme is presented and simulations for the direct-online start-up of an Induction Machine are illustrated.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Issam Damaj, Salwa K. Al Khatib, Tarek Naous, Wafic Lawand, Zainab Z. Abdelrazzak, Hussein T. Mouftah
Summary: This article discusses the challenges and requirements of using high-performance hardware devices and machine learning techniques in Intelligent Transportation Systems (ITS). By reviewing relevant literature and proposing a performance evaluation framework, it lays the foundation for developing suitable hardware devices and technological infrastructure, as well as bridging the gap between research and real-world deployments.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Thermodynamics
Hongxu Zhou, Zhongwei Yu, Xiaohua Wu, Zhanfeng Fan, Xiaofeng Yin, Lingxue Zhou
Summary: This paper develops a dynamic programming-based fuzzy logic strategy for optimizing energy management in a demonstration fuel cell hybrid bus. The strategy considers the relationship between fuel cell power, battery state of charge, and demand power. It is tailored to the unique characteristics of the demonstration driving cycles and shows improved energy efficiency compared to the original rule-based strategy, especially under certain conditions.
Article
Engineering, Marine
Zeyu Hou, Ran Yan, Shuaian Wang
Summary: Port state control is important for maritime security, protecting the marine environment, and ensuring decent conditions for seafarers. The relationship between ship deficiencies and detention decisions has been understudied using unsupervised machine learning techniques. This research utilizes a six-year dataset from the Tokyo memorandum of understanding to develop an unsupervised algorithm for improving port state control inspection decision-making models.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Thermodynamics
Ying Han, Hanqing Yang, Qi Li, Weirong Chen, Firuz Zare, Josep M. Guerrero
Article
Automation & Control Systems
Yu Yan, Qi Li, Weirong Chen, Wenqiang Huang, Jiawei Liu
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2020)
Article
Engineering, Electrical & Electronic
Qi Li, Wenyu Yang, Liangzhen Yin, Weirong Chen
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2020)
Article
Engineering, Electrical & Electronic
Luoyi Li, Weirong Chen, Ying Han, Qi Li, Yuchen Pu
Summary: This paper proposes a stability enhancement method based on adaptive virtual resistor for addressing impedance mismatch issues in a grid-connected inverter connected to a weak grid. Through experimental verification, the effectiveness of the proposed method in improving the stability of DC bus voltage and power distribution under different operating scenarios was successfully demonstrated.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Tianhong Wang, Qi Li, Liangzhen Yin, Weirong Chen, Elena Breaz, Fei Gao
Summary: This paper introduces a hierarchical power allocation method for dual-stack fuel cell hybrid locomotive powertrain, utilizing multi-stack system and batteries as energy storage source. The study incorporates online identification and SQP scheme to update system parameters and find optimal solutions for efficient operation, along with using ECMS as a benchmark. Experimental results show that the proposed method can optimize system efficiency and reduce fuel consumption.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Transportation Science & Technology
Shiyong Tao, Weirong Chen, Rui Gan, Luoyi Li, Guorui Zhang, Ying Han, Qi Li
Summary: The proposed energy management strategy based on dynamic programming and state machine strategy optimizes power distribution of the fuel cell system, improves FC durability, reduces hydrogen consumption, and maintains battery status in the ideal range.
RAILWAY ENGINEERING SCIENCE
(2021)
Article
Automation & Control Systems
Qi Li, Liangzhen Yin, Hanqing Yang, Tianhong Wang, Yibin Qiu, Weirong Chen
Summary: This article proposes a hierarchical performance enhancement control strategy (HPECS) to effectively address the challenges of efficient and stable operation of proton exchange membrane fuel cell (PEMFC) system.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Energy & Fuels
Luoyi Li, Ying Han, Qi Li, Yuchen Pu, Cai Sun, Weirong Chen
Summary: This paper presents an event-triggered decentralized coordinated control method for an islanded electric-hydrogen hybrid DC microgrid. By analyzing the operation characteristics of the subsystem, a real-time efficient operating cost function is constructed, and an improved economic control strategy based on this function is designed to drive the electric-hydrogen hybrid energy storage system for economical and reliable operation. Experimental results from the RL-LAB platform demonstrate the economic benefits and effectiveness of the proposed decentralized method in ensuring reliability in various scenarios.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Automation & Control Systems
Tianhong Wang, Qi Li, Yibin Qiu, Weirong Chen, Elena Breaz, Alexandre Ravey, Fei Gao
Summary: This article proposes a power allocation method for fuel cell system clusters (FCSC) that is relevant to the system's economy and considers multiple factors influencing operating costs. Efficiency, hydrogen consumption, and stack degradation are analyzed and represented using high-order polynomials, with an online identification algorithm used to update system parameters in real-time. The cost function also considers stack degradation, and constraints are added to limit FC output power to ensure high efficiency operation. The effectiveness of the proposed method is verified through hardware-in-the-loop simulation and comparison with an equal distribution strategy.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Nie Hou, Li Ding, Pasan Gunawardena, TianHong Wang, Yue Zhang, Yun Wei Li
Summary: In the past ten years, extensive research has been conducted on partial power processing (PPP) converter systems to embed renewable energy sources (RESs) into strong grid systems, resulting in less power transferred loss. A novel PPP structure is proposed in this article to integrate RESs and energy storage systems (ESSs) in an islanded dc microgrid with robust dc-link voltage. A high-robustness control scheme is proposed to maintain the total dc-link voltage when the working condition of the RES, the output voltage of the ESS, and the power requirement of the consumer change. Simulation and experiment results using PV panel as an example demonstrate the effectiveness of the proposed PPP structure and methods.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Qi Li, Liangdong Cai, Liangzhen Yin, Tianhong Wang, Luoyi Li, Shuqi Xie, Weirong Chen
Summary: Due to technical limitations, a single-stack fuel cell (FC) system is not suitable for high-power applications, leading to the increasing attention on multistack FC hybrid system (MS-FCHS). To improve system economy, a real-time energy management strategy (EMS) is proposed, considering fuel cost, FC and battery degradation cost. The strategy also accounts for inconsistent FC performance and its impact on system lifetime. Experimental results show that the proposed strategy reduces system operating cost by 15.85% and 9.75% compared to power following strategy (PF) and hydrogen consumption minimizing strategy (H2-minimization), while improving system efficiency. The strategy also enables convergent control, prolongs system life, and maintains battery state of charge (SOC) within a certain range, ensuring stable system operation.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Computer Science, Artificial Intelligence
Qian Li, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang, Ge Yu
Summary: In this paper, a new method called Open knowledge graph Enhanced Representation Learning of KGs (OERL) is proposed to address the sparseness and incompleteness of knowledge graphs. OERL extracts textual and structural connections between knowledge graphs and open knowledge graphs to enhance the representation learning. Experimental results demonstrate that OERL outperforms state-of-the-art baselines.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Information Systems
Yibin Qiu, Qi Li, Yuru Pan, Lanjia Huang, Cai Sun, Hanqing Yang, Jiawei Liu, Weirong Chen