Review
Engineering, Electrical & Electronic
Daniel G. Barroso, Yinye Yang, Fabricio A. Machado, Ali Emadi
Summary: The increase in pollution and carbon dioxide in the transportation sector has led many countries to establish rules for reducing emissions and carbon footprints. Partial or total electrification of the automotive propulsion system is necessary to minimize the environmental impact of transportation. This article presents the definition of automotive propulsion system electrification, different degrees of electrification and operation modes, and possible configurations based on the position of the electric machine. It also introduces the subsystems and components of the propulsion system, providing an explanation for each part. Building on state-of-the-art technology, it aims to provide industry knowledge and a process for selecting an electrified propulsion system architecture.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Computer Science, Information Systems
Bowen Yang, Jin Yan, Zhi Cai, Zhiming Ding, Dongze Li, Yang Cao, Limin Guo
Summary: Emergency path planning is a research hotspot in intelligent transportation systems, challenging due to the complexity of urban road networks. This study proposes a novel situational grid road network model based on situation information, applied to an equidistant grid emergency path planning framework for finding the shortest path efficiently.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Engineering, Civil
Zhongqiang Ren, Zachary B. Rubinstein, Stephen F. Smith, Sivakumar Rathinam, Howie Choset
Summary: The Resource Constrained Shortest Path Problem (RCSPP) aims to find a minimum-cost path between a start and a goal location while keeping the resource consumption within limits. Solving RCSPP is challenging due to the need to compare and maintain partial paths based on multiple criteria and the absence of a single path that optimizes all criteria simultaneously. This paper presents ERCA*, a fast algorithm based on A* that efficiently handles multiple resource constraints and outperforms existing algorithms in terms of runtime efficiency.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Kendall Parker, Prabir Barooah
Summary: With the increased use of renewable energy sources, the need for reserves becomes crucial to ensure reliable electricity supply. Methods to determine minimal reserves are required to address the high cost, and simple indicators of volatility may not accurately predict reserve requirements in a renewable rich future.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Computer Science, Information Systems
Xiaomin Guo, Shan Ma
Summary: This paper proposes a reliability evaluation method for electrified railways supplied by weak external power sources, which quantifies the reliability of external power supply by analyzing the reliability of system nodes and traction substations. A case study demonstrates the effectiveness of the method in improving the reliability of external power supply for electrified railways.
Article
Engineering, Electrical & Electronic
Si Lv, Zhinong Wei, Guoqiang Sun, Sheng Chen, Haixiang Zang
Summary: The article investigates the interdependence between electrified highway network and power transmission network, proposing a new charging-driving navigation model to optimize EV behaviors. It also explores the economic operation of the two networks and the potential cost reduction through the exchange of location marginal prices and charge/discharge demands.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Computer Science, Artificial Intelligence
Bojie Shen, Muhammad Aamir Cheema, Daniel D. Harabor, Peter J. Stuckey
Summary: The study explores optimal and suboptimal algorithms for the Euclidean Shortest Path Problem in two dimensions. Results show that the new algorithm outperforms other ESPP planners in terms of speed, performance, path quality, and flexibility.
ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Electrical & Electronic
Robert A. F. Currie, Teddy Ward, James L. Carney, Greg Mandelman, Margot C. Everett, Aram Shumavon, Nathan Phelps, Lindsay Griffin, Stephan Roundtree
Summary: Many countries are enhancing the planning and interconnection process for renewable energy technologies, but the electrification of transportation is having a larger impact on utility planning and operations. Electric vehicle (EV) adoption is happening at a much faster rate than the buildout of new infrastructure by utilities. Accurate and granular modeling of EV adoption and usage patterns will be crucial for identifying grid investment needs and decarbonizing the grid.
IEEE POWER & ENERGY MAGAZINE
(2023)
Article
Engineering, Electrical & Electronic
Zhaomiao Guo, Fatima Afifah, Junjian Qi, Sina Baghali
Summary: The study explores the interdependence between transportation and power systems, taking into account decentralized renewable generators and electric vehicles. By formulating the problem in a stochastic multiagent optimization framework, they address the complex interactions between various stakeholders and propose a solution algorithm based on the alternating direction method of multipliers (ADMM) to tackle dimensionality issues. Insights are provided through numerical analysis using standard test systems in the literature.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Multidisciplinary Sciences
Ngoc Tam Lam, Ian Howard, Lei Cui
Summary: The study developed a path-planning algorithm based on the breadth-first-search algorithm to generate a shortest path for each Platonic solid to reach a desired pose. In addition, the authors chose Penrose tiling as the method for regular-pentagon tiling.
Article
Computer Science, Information Systems
Xuanyu Gao, Yitao Dong, Yi Han
Summary: This paper presents an improved algorithm based on Deep Q-learning (DQN) to enhance ship path planning. The algorithm plans a reasonable and cost-effective route to the destination based on all historical track, regardless of the ship's current location. The proposed algorithm uses k-means clustering to cluster historical ship locations and enhances the DQN algorithm through the optimization of the reward function. Experimental results show that the improved DQN algorithm achieves a significant convergence speed improvement and enhances the success rate of path planning.
Article
Green & Sustainable Science & Technology
Zhong Wang, Fengmin Lan, Zijing Lin, Lian Lian
Summary: Bus rapid transit (BRT) is characterized by higher speed, comfort level, and capacity compared to conventional bus service. This paper focuses on developing an optimization model for BRT network planning, utilizing an integer programing model to identify station locations and route layout with the objective of maximizing trips served by the network. A heuristic method is used to generate optimal solutions, with a case study in Luoyang, China showing the validity and applicability of the method for improving BRT network planning and sustainable transportation system development.
Article
Engineering, Electrical & Electronic
Yinbo Ge, Haitao Hu, Yi Huang, Ke Wang, Junyu Chen, Zhengyou He
Summary: With the development of flexible TPSs, it is now possible to improve power quality in ac electrified railways. However, the standard definitions of power quality indexes for railroads are nonlinear, making real-time control of flexible TPSs challenging. This study establishes mathematical models that directly link the power outputs of the traction transformer to the negative sequence current (NSC) and effective power factor (EPF) of traction substations, and develops quadratic sensitivity models (QSMs) for power output estimation. Through hardware-in-the-loop experiments, two application schemes of these QSMs for real-time power quality control in flexible TPSs are demonstrated.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Ding Feng, Qinyang Yu, Xiaojun Sun, Hengkai Zhu, Sheng Lin, Jianguo Liang
Summary: This article proposes a risk assessment method for electrified railway catenary, comprehensively analyzing the risk factors of catenary failures and quantitatively evaluating and visualizing the risks. Through a case study, it was found that the method can effectively identify critical components of the catenary system, providing important information for maintenance decision-making.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Computer Science, Artificial Intelligence
Jinjun Rao, Chaoyu Xiang, Jinyao Xi, Jinbo Chen, Jingtao Lei, Wojciech Giernacki, Mei Liu
Summary: This work studies a unique artificial potential field-A* (APF-A*) algorithm for path planning in a dual-quadrotor cooperative transport system, aiming to achieve safe and effective transport. The algorithm proposes a strategy based on the APF theory to optimize the heuristic function and maintain a safe distance from obstacles. The results demonstrate that the APF-A* algorithm outperforms the regular A* algorithm in terms of path planning efficiency for the dual-quadrotor system.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Chemistry, Physical
Zhihua Deng, Qihong Chen, Liyan Zhang, Zhichao Fu, Keliang Zhou
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2020)
Article
Energy & Fuels
Wenjie Chen, Jia Liu, Si Chen, Liyan Zhang
Article
Engineering, Electrical & Electronic
Ze Zhou, Liyan Zhang, Zhitao Liu, Qihong Chen, Rong Long, Hongye Su
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2020)
Article
Engineering, Electrical & Electronic
Jun Cheng, Liyan Zhang, Qihong Chen
Summary: An improved initialization strategy is proposed in this paper, which utilizes a pure visual ORB-SLAM model, IMU preintegration technology, and a trust region-based iterative strategy to achieve more efficient initial estimation and improve the accuracy of velocity and pose estimation for sensor suite.
JOURNAL OF SENSORS
(2021)
Article
Energy & Fuels
Ze Zhou, Zhitao Liu, Hongye Su, Liyan Zhang
Summary: This paper proposes an integrated pricing strategy to coordinate the load levels between the power distribution network and the transportation network by considering traffic load rate and bus load rate. Distributed optimization and model predictive control are adopted to ensure charging requirements are met. The research results demonstrate the effectiveness of the integrated pricing strategy in coordinating load levels in coupled networks.
Article
Automation & Control Systems
Jia Liu, Zhitao Liu, Wenjie Chen, Hongye Su, Liyan Zhang
Summary: This article investigates current sharing based on incremental passivity control for multilevel connected dc-dc converters. By combining passivity-based control with a finite-time estimator, a linear control law is proposed despite the bilinear nature of the system. Analysis shows that stability and current sharing are independent of inductor parameters. Simulation and experiments validate the proposed control scheme's fast transit response and antidisturbance performance.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Cuilan Tan, Qihong Chen, Liyan Zhang, Keliang Zhou
Summary: Three-phase four-leg inverters with an LCL filter are commonly used in vehicle to grid (V2G) applications due to their advanced features. Repetitive control (RC) can accurately track periodic signals, but conventional RC (CRC) has slow dynamic responses and is affected by grid frequency fluctuation. A hybrid control scheme combining frequency-adaptive RC (FARC) controller and deadbeat (DB) controller is proposed to achieve fast and accurate control of feed-in grid current for the onboard three-phase four-leg V2G inverters with an LCL filter. Simulations and experiments demonstrate that the DB plus FARC control strategy provides excellent current control solution for these inverters.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Engineering, Electrical & Electronic
Yuchen Dai, Liyan Zhang, Dezhi Xu, Qihong Chen, Xing-Gang Yan
Summary: A finite-time disturbance-observer (DO)-based fuzzy sliding mode cooperative backstepping (FDFSM-CB) scheme is proposed in this paper to improve the synchronization performance and reduce the error between multiple permanent magnet synchronous traction motors in low-speed urban rail transit (URT).
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Electrical & Electronic
Zhihua Deng, Qihong Chen, Liyan Zhang, Keliang Zhou, Yi Zong, Hao Liu, Jishen Li, Longhua Ma
Summary: This article proposes a method based on stacked echo state networks and genetic algorithms to predict the future degradation trend of proton exchange membrane fuel cells. The research results show that this method outperforms traditional prediction methods in terms of accuracy and generalization performance.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Review
Automation & Control Systems
Jun Cheng, Liyan Zhang, Qihong Chen, Xinrong Hu, Jingcao Cai
Summary: This article discusses the demand for visual SLAM technology in autonomous driving vehicles, focusing on the typical structure, latest research findings, and future trends of visual SLAM.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Electrical & Electronic
Ze Zhou, Zhitao Liu, Hongye Su, Liyan Zhang
Summary: This paper presents a new microgrid structure that uses in-motion electric vehicles as a distributed energy storage system and combines dynamic wireless charging technology. Through case studies, the feasibility and advantages of the proposed microgrid capacity planning are demonstrated.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Thermodynamics
Ze Zhou, Zhitao Liu, Hongye Su, Liyan Zhang
Summary: Dynamic wireless charging technology can alleviate range anxiety and promote the widespread use of electric vehicles. It is important to consider it as a significant charging method in future urban scenarios. This study proposes a planning strategy for the coexistence of static and dynamic charging facilities in order to maximize the comprehensive performance of the power-traffic system.
Article
Engineering, Electrical & Electronic
Ze Zhou, Zhitao Liu, Hongye Su, Liyan Zhang
Summary: Dynamic wireless charging can enhance the connection between in-motion electric vehicles and microgrids. This paper proposes a collaborative strategy with a two-layer control structure to ensure the coordination between electric vehicles using dynamic wireless charging mode (DWCEVs) and the hybrid power system in the microgrid. The upper layer controller minimizes the power exchange between the main grid and microgrid while calculating the reference power for the lower layer controller. The lower layer controller allocates charging power to individual DWCEVs based on the optimized reference value from the upper layer controller and considers the charging requirements of different DWCEVs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
