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Article
Engineering, Electrical & Electronic
Si Wu et al.
Summary: As high-speed railways continue to develop, issues related to neutral sections and power quality are becoming more prominent. Researchers have proposed co-phase power supply schemes, with the MMC-based scheme being a representative one. This paper introduces two improved schemes based on a novel MMC-based scheme, aiming to optimize co-phase power supply for AT-fed systems used in high-speed railways. Through mathematical modeling, control system development, and simulation verification, these proposed schemes are compared to existing schemes in terms of topology, control system complexity, power loss, and functionality. The results show that the proposed schemes outperform the existing schemes in terms of control system complexity and power loss, making them more suitable and superior for AT-fed systems. Among the proposed schemes, MMC-5L1CB performs the best in terms of power loss, while MMC-4L2CB performs the best in terms of control system complexity.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Xiaolin Tang et al.
Summary: This paper explores the performance potential of a novel dual-mode power-split hybrid powertrain and analyzes the steady-state power split characteristics of the system. A mode switching strategy is developed and verified, and a novel multi-objective optimization algorithm with high computational efficiency is proposed.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Kyunghwan Choi et al.
Summary: In this study, a novel energy management strategy for hybrid electric vehicles (HEVs) is proposed, which considers actual driving conditions to provide near-optimal performance. The strategy defines a near-optimal equivalent factor condition and presents an iterative scheme to adjust this condition. It shows better adaptability to changes in the driving conditions with a smaller loss of optimality.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Environmental Sciences
Lei Wen et al.
Summary: This paper analyzes the internal drivers of carbon emissions in China's freight system and explores the paths and effects of carbon peaking by setting different scenarios. The results indicate that improving the proportion of railway freight, railway electrification level, and electric truck penetration is an effective way to achieve green and sustainable development in China's freight industry.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Thermodynamics
Wei Wu et al.
Summary: Here, a novel multi-degree-of-freedom parallel hybrid propulsion system with multi-gear is proposed for heavy-duty vehicles to optimize fuel economy, driving comfort, and dynamic performance. The system features a compact structure and high integration. Detailed design, power flow, and simulated results of the system are presented. Control methods for driving torque compensation and energy management are investigated, ensuring uninterrupted power during gear shifting and reduced jerk during shifting. The hybrid propulsion mode with equivalent consumption minimization strategy results in more efficient operation of the internal combustion engine.
Article
Thermodynamics
Dhrupad Biswas et al.
Summary: This study proposes a fast iterative implementation of Model Predictive Static Programming (MPSP) algorithm for energy management of Parallel Hybrid Electric Vehicles (PHEVs). The performance of this algorithm is evaluated and compared with other standard methods, with promising results. The MPSP algorithm shows close performance to the ideal performance achieved with Dynamic Programming (DP) and outperforms Linear Time-Varying MPC (LTV-MPC) and Sequential Quadratic Programming MPC (SQP-MPC) in terms of execution time, making it a strong candidate for on-board vehicle implementation of an optimal energy management strategy for PHEVs.
Article
Engineering, Electrical & Electronic
Josu Olmos et al.
Summary: This study analyzes the life cycle costs of railway projects involving hybrid diesel-electric vehicles, with a specific focus on comparing different lithium-ion battery technologies and energy management strategies. By optimizing the diesel generator and lithium-ion battery size, the life cycle cost is quantitatively analyzed for different scenarios and compared to traditional diesel-electric railway vehicles, leading to a techno-economic discussion. The study finds that LTO and NMC are the best lithium-ion battery technologies and a state-machine controller optimized by a genetic algorithm approach is the most appropriate strategy. The best case achieves a 4.0% reduction in life cycle cost and 13.7% diesel savings compared to a traditional diesel-electric railway vehicle.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Energy & Fuels
Cheng Li et al.
Summary: This paper proposes a neural network-based equivalent factor predictor for real-time prediction of equivalent factors in fuel cell electric vehicles. It also improves the real-time performance of the equivalent consumption minimization strategy. Simulation and experimental results demonstrate that the designed strategy can better maintain battery state of charge and achieve significant energy savings.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Hamed Jafari Kaleybar et al.
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
Thermodynamics
Feng Wang et al.
Summary: A novel energy management strategy (EMS-MTC) is proposed in this research to address the issue of frequent mode transitions in plug-in hybrid electric vehicles. By incorporating two penalty functions into the EMS algorithm, a tradeoff between fuel economy and mode transition frequency is achieved. Experimental tests demonstrate the potential practical application of this strategy.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Hujun Peng et al.
Summary: This contribution introduces offline optimal energy management strategies for a fuel cell hybrid train, taking into account dynamics in batteries and introducing a damping factor to reduce unnecessary oscillations. The strategies, based on Pontryagin's minimum principle and dynamic programming, have been mutually validated for correctness and provide more precise references. Validation with measurements showed only a 0.15% difference in hydrogen consumption between calculated and measured values.
Article
Thermodynamics
Mihael Cipek et al.
Summary: The paper presents a novel approach to heavy-haul railway freight by combining conventional diesel-electric and battery-electric locomotives. A quasi-static model of a battery-electric locomotive is proposed based on a decommissioned diesel-electric locomotive undercarriage equipped with a large battery energy storage system. Simulation results show that fuel cost savings of 22% to 30% and reduced emissions can be achieved by using the proposed tandem operation of the two types of locomotives on mountainous railway routes.
Article
Thermodynamics
Shen Cheng et al.
Summary: A novel methodology for determining the optimal size of a hybrid energy system is introduced in this paper, aiming to minimize the total cost of the system while meeting the constraints of fuel cells and battery capacity. The proposed improved algorithm addresses the issues of traditional algorithms through oppositional learning and chaos mechanism, and the analysis results show that the proposed algorithm outperforms in tackling real-world problems.
Article
Energy & Fuels
Atriya Biswas et al.
Summary: This article develops an online simulation framework to evaluate the performance of a multi-mode electrified powertrain with multiple power sources. It selects an electrically variable transmission as the centerpiece of the powertrain and introduces a novel architecture topology through a rigorous screening process.
Article
Energy & Fuels
Marko Kapetanovic et al.
Summary: Hybridization of diesel multiple unit railway vehicles has been proven to effectively reduce fuel consumption and emissions, with a nested coordination framework utilized to optimize fuel consumption globally and achieve significant improvements in energy and environmental performance.
Article
Automation & Control Systems
Qiujiang Liu et al.
Summary: This article proposes a harmonic generator to directly measure the impedance of traction power supply systems. Field tests on actual railways have verified the effectiveness and feasibility of this method. The study found that locations do not change resonant frequencies, while railway lengths distinctly shift resonant frequencies.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Green & Sustainable Science & Technology
Menglin Li et al.
Summary: A novel predictive energy management strategy with passenger number prediction and exhaust emission optimization is proposed for hybrid electric buses. The integration of vehicle speed and passenger number prediction based on deep learning accurately predicts future power demand, resulting in improved energy efficiency and reduced emissions. Simulation results show better performance of the deep neural network predictor in predicting speed and passenger number compared to other predictors, with significant reductions in emissions while only a slight increase in energy consumption costs.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Zhenzhen Lei et al.
Article
Thermodynamics
Wenran Geng et al.
Review
Thermodynamics
Xueqin Lu et al.
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Energy & Fuels
Pier Giuseppe Anselma et al.
Article
Thermodynamics
Mihael Cipek et al.
Article
Energy & Fuels
Zhaobo Qin et al.
Article
Engineering, Electrical & Electronic
Nicolas Denis et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2018)
Article
Chemistry, Physical
Zhihu Hong et al.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2018)
Article
Automation & Control Systems
Xuzhen Huang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2017)
Article
Chemistry, Physical
Guorui Zhang et al.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2017)
Article
Energy & Fuels
Weichao Zhuang et al.
Article
Engineering, Electrical & Electronic
Xiaowu Zhang et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2016)
Article
Chemistry, Physical
Zheng Chen et al.
JOURNAL OF POWER SOURCES
(2014)
Article
Engineering, Electrical & Electronic
Amine Jaafar et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2009)
