Article
Energy & Fuels
Adel Oubelaid, Nima Khosravi, Youcef Belkhier, Nabil Taib, Toufik Rekioua
Summary: This paper proposes a new multi-stage power management strategy for hybrid electric vehicles (HEVs) to enhance security and performance. The strategy utilizes a model-based coordinated switching approach tailored to the transient dynamics of power sources, protecting sensitive power sources like fuel cells (FCs) from potential damages caused by abrupt load variations. A fuzzy energy management method is employed to manage power flow in HEVs, allowing safe and defined operation of FCs at multiple operating points. Fault detection algorithms are integrated to detect and correct any power source failures. Simulation results demonstrate that the proposed strategy provides efficient usage and precise control of FC power, compensating for FC sluggishness and reducing transient power ripples and voltage fluctuations. The effectiveness of the strategy is validated through simulations on the RT LAB platform with satisfactory results.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
R. Saravanan, O. Sobhana, M. Lakshmanan, P. Arulkumar
Summary: This manuscript proposes a hybrid technique, called JSO-RSA method, for the energy management of a battery-based FC electric vehicle system. The method aims to minimize the equivalent consumption by controlling the operational mode, state machine, and dynamic power factor. The proposed method demonstrates high efficiency (90.2%) and low operating cost ($568) compared to existing methods.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
Zhaowen Liang, Kai Liu, Jinjin Huang, Enfei Zhou, Chao Wang, Hui Wang, Qiong Huang, Zhenpo Wang
Summary: This manuscript addresses the continuous uphill requirements in the cold mountainous area of the 2022 Beijing Winter Olympics by adopting a dual-motor coupling technology and conducting structure design and parameter matching of the vehicle power system architecture. Furthermore, a fuzzy logic control-based energy management strategy (EMS) optimization method for the proton exchange membrane fuel cell (PEMFC) is proposed to enhance power stability and efficiency. Experimental results show that the proposed powertrain successfully reduces power fluctuation and improves energy efficiency by 20.7%.
Article
Chemistry, Physical
Robert Luca, Michael Whiteley, Toby Neville, Paul R. Shearing, Dan J. L. Brett
Summary: Hybrid fuel cell battery electric vehicles require complex energy management systems (EMS) to operate effectively. This paper compares different EMSs using a common modelling framework and evaluates their performance in terms of charge sustaining ability and fuel cell degradation. It is found that certain EMSs can effectively reduce H-2 consumption but may lead to decreased fuel cell lifetime. Additionally, a novel fuzzy logic controller is introduced that adjusts its control strategy based on fuel cell degradation, extending the fuel cell lifetime.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
Haroune Aouzellag, Bessam Amrouche, Koussaila Iffouzar, Djamal Aouzellag
Summary: This paper proposes an energy management strategy based on hysteresis control, using the expression of the energy storage system converter efficiency as the sole input variable. Simulation results show that the strategy allows energy distribution and reduces energy consumption.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
V. Prasanna Moorthy, S. Siva Subramanian, V Tamilselvan, S. Muthubalaji, P. Rajesh, Francis H. Shajin
Summary: In this article, a novel hybrid method combining the Kernel Wingsuit Flying Search Algorithm and Sea Lion Optimization Algorithm is proposed to optimize energy management in a hybrid electric vehicle system. Through parameter investigation and performance evaluation, the proposed method is shown to be more efficient in reducing fuel consumption.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Hamed Jafari Kaleybar, Morris Brenna, Huan Li, Dario Zaninelli
Summary: This paper studies the modeling of fuel cell hybrid locomotives and proposes a modified fuzzy logic-based energy management system. Simulation results show that the proposed system can reduce hydrogen consumption and improve power distribution and energy storage performance.
Article
Computer Science, Information Systems
Ashish Kumar Karmaker, Md. Alamgir Hossain, Hemanshu Roy Pota, Ahmet Onen, Jaesung Jung
Summary: This paper presents an energy management algorithm that considers techno-economic and environmental factors for a hybrid solar and biogas-based electric vehicle charging station. The proposed algorithm, designed for a 20-kW charging station, utilizes a fuzzy inference system in MATLAB SIMULINK to optimize real-time charging costs and renewable energy utilization by managing power generation, EV power demand, charging periods, and existing charging rates. The results demonstrate a 74.67% reduction in energy costs compared to existing flat rate tariffs, with lower charging costs on weekdays and weekends. The integration of hybrid renewables also leads to a significant decrease in greenhouse gas emissions, making the project profitable with short payback periods for charging station owners.
Article
Thermodynamics
Gursel Sefkat, Mert Ali Ozel
Summary: The study aims at enhancing overall energy efficiency of the fuel cell hybrid electric vehicle through a fuzzy logic control algorithm, balancing the energy consumption of the battery and fuel cell, utilizing waste heat of hydrogen vessels, and operating two energy sources safely and efficiently. The developed algorithm successfully reduces total energy consumption, increases energy efficiency at extreme temperatures, and provides a thermal management strategy for waste heat recovery from hydrogen vessels.
Article
Energy & Fuels
Mingliang Bai, Wenjiang Yang, Ruopu Zhang, Marek Kosuda, Peter Korba, Michal Hovanec
Summary: Hybrid-electric propulsion system (HEPS) is gaining attention in UAVs for its potential to reduce fuel consumption and emissions. This study introduces a fuzzy logic control-equivalent consumption minimum strategy (FLC-ECMS) that improves energy management in HEPS. Simulation tests show that HEPS-equipped hybrid UAVs can significantly decrease fuel consumption and emissions, while maintaining battery state of charge (SOC) and reducing SOC difference. This research provides insights into optimal energy management for HEPS in UAVs, highlighting the importance of UAVs in reducing environmental impacts.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Razieh Ghaderi, Mohsen Kandidayeni, Loic Boulon, Joao P. Trovao
Summary: This paper proposes a three-layer online EMS for efficient power distribution in a multi-stack fuel cell hybrid electric vehicle. The method continuously updates the characteristics of each fuel cell and battery using online estimators, and uses a rule-based approach to improve the calculation speed. The power distribution is achieved using a Q-learning algorithm based on reinforcement learning. The proposed method significantly reduces the trip cost compared to other online strategies and has a slightly higher cost compared to the offline strategy.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Thermodynamics
Xiuliang Zhao, Lei Wang, Yinglong Zhou, Bangxiong Pan, Ruochen Wang, Limei Wang, Xueqing Yan
Summary: This paper investigates the topologies and energy management strategies of the fuel cell hybrid electric vehicle (FCHEV), and analyzes its development trends and challenges.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Samuel Filgueira da Silva, Jony Javorski Eckert, Fabricio Leonardo Silva, Fernanda Cristina Correa, Ludmila C. A. Silva, Andre Valente Bueno, Franco Giuseppe Dedini
Summary: The study presents a comprehensive approach for optimizing the power distribution control and design of a Fuel Cell Hybrid Electric Vehicle (FCHEV) using a multi-objective evolutionary algorithm. The method aims to maximize the vehicle's driving range and the lifetimes of the fuel cell stack and battery while minimizing hydrogen fuel consumption and storage system size. The optimized FCHEV configuration achieved a driving range of 444 km and exhibited improved energy efficiency, driving autonomy, and power sources lifespan in real-world driving conditions.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Thermodynamics
Desiree Alcazar-Garcia, Jose Luis Romeral Martinez
Summary: This paper presents an adaptive and high-accuracy methodology that utilizes genetic algorithms to accelerate the design and implementation of ecological vehicles in smart cities. The methodology maximizes vehicle range with minimal computational effort and provides predictive information on cost, volume, and weight. The reliability and precision of the model have been verified using commercially available vehicles.
Article
Engineering, Aerospace
Yingtao Zhu, Bingjie Zhu, Xixiang Yang, Zhongxi Hou, Jianan Zong
Summary: This paper presents an energy management strategy for a series hybrid electric propulsion system designed for a fixed-wing vertical take-off and landing (VTOL) aircraft. The proposed method combines an ideal operating line (IOL) and fuzzy logic to optimize the power allocation of the generator and the battery pack. The IOL controller is used to optimize the internal combustion engine (ICE) operating point. Simulation results show that running the ICE based on IOL greatly improves its efficiency. The introduction of fuzzy logic to optimize power allocation improves the overall efficiency of the system. The feasibility and effectiveness of the proposed energy management strategy are verified, providing design ideas and analysis methods for hybrid electric aircraft energy management.
Review
Chemistry, Physical
Yang Zhou, Alexandre Ravey, Marie-Cecile Pera
JOURNAL OF POWER SOURCES
(2019)
Article
Chemistry, Physical
Yu Wu, Yigeng Huangfu, Rui Ma, Alexandre Ravey, Daniela Chrenko
JOURNAL OF POWER SOURCES
(2019)
Article
Thermodynamics
Huan Li, Alexandre Ravey, Abdoul N'Diaye, Abdesslem Djerdir
ENERGY CONVERSION AND MANAGEMENT
(2019)
Article
Thermodynamics
Yu Wu, Alexandre Ravey, Daniela Chrenko, Abdellatif Miraoui
ENERGY CONVERSION AND MANAGEMENT
(2019)
Article
Energy & Fuels
Yang Zhou, Alexandre Ravey, Marie-Cecile Pera
Article
Automation & Control Systems
Daming Zhou, Ahmed Al-Durra, Ke Zhang, Alexandre Ravey, Fei Gao
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2019)
Article
Chemistry, Physical
Yang Zhou, Huan Li, Alexandre Ravey, Marie-Cecile Pera
JOURNAL OF POWER SOURCES
(2020)
Article
Thermodynamics
L. Vichard, R. Petrone, F. Harel, A. Ravey, P. Venet, D. Hissel
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Chemistry, Physical
L. Vichard, F. Harel, A. Ravey, P. Venet, D. Hissel
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Thermodynamics
Yang Zhou, Alexandre Ravey, Marie-Cecile Pera
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Energy & Fuels
Mehdi Sellali, Alexandre Ravey, Achour Betka, Abdellah Kouzou, Mohamed Benbouzid, Abdesslem Djerdir, Ralph Kennel, Mohamed Abdelrahem
Summary: The Energy Management Strategy (EMS) in Fuel Cell Hybrid Electric Vehicles (FCHEVs) plays a crucial role in optimizing power distribution. This paper proposes a new health-conscious EMS algorithm based on Model Predictive Control (MPC) to minimize battery degradation and extend its lifetime. Compared to other optimization-based EMSs, this approach does not require speed profile information and can be used for real-time control. Simulation results show that it significantly reduces economic cost and energy sources degradation.
Article
Chemistry, Physical
Yu Wu, Jian Zhang, Alexandre Ravey, Daniela Chrenko, Abdellatif Miraoui
JOURNAL OF POWER SOURCES
(2020)
Article
Automation & Control Systems
Jean-Marc Nwesaty, Antoneta Iuliana Bratcu, Alexandre Ravey, David Bouquain, Olivier Sename
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Loic Vichard, Simon Morando, Alexandre Ravey, Fabien Harel, Pascal Venet, Serge Pelissier, Daniel Hissel
2018 IEEE TRANSPORTATION AND ELECTRIFICATION CONFERENCE AND EXPO (ITEC)
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Yu Wu, Alexandre Ravey, Daniela Chrenko, Abdellatif Miraoui
2018 IEEE TRANSPORTATION AND ELECTRIFICATION CONFERENCE AND EXPO (ITEC)
(2018)
