The Experts below are selected from a list of 273 Experts worldwide ranked by ideXlab platform
Jiayush Yen - One of the best experts on this subject based on the ideXlab platform.
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real time energy efficient traction allocation strategy for the compound electric Propulsion System
IEEE-ASME Transactions on Mechatronics, 2017Co-Authors: Fangchieh Chou, Jiayush YenAbstract:This paper presents the development of a novel compound electric Propulsion System for the ground vehicle with the emphasis on real-time, energy-efficient traction control strategy. The proposed compound electric Propulsion System employs an induction motor (IM) and two permanent-magnet synchronous motors (PMSMs) to provide traction forces for the front and rear wheels, respectively; such design is aimed to improve energy efficiency and vehicle dynamics performance of conventional electric vehicles (EVs) using IM traction Systems by exploiting complementary power characteristics of IM and PMSMs and dynamic traction allocation on all wheels. In this study, a practical traction allocation method, which is based on the power fusion and instantaneous power minimization (IPM) concepts, is proposed to dynamically control the torque loads for the IM and PMSMs such that all motors can be operated in respective high-efficiency regions. The optimal operating points (torque, speed) of IM and PMSMs are searched off-line through the IPM process, and the efficiency maps of the IM and PMSMs are combined and transformed into an optimal efficiency map of the compound electric Propulsion System. To verify the feasibility and efficacy of the proposed traction allocation strategy, hardware in the loop simulation experiments were conducted with an active motor dynamometer, IM and PMSM, and a vehicle simulator. Experiments using the U.S. EPA Urban Dynamometer Driving Schedule (FTP-72) show that the compound electric Propulsion System with the proposed traction allocation algorithm can reduce energy consumption by ∼24% as compared with the conventional IM traction System. In addition, the performance of the proposed traction allocation method is compared with alternative methods and analyzed under different control command update rates.
Fangchieh Chou - One of the best experts on this subject based on the ideXlab platform.
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real time energy efficient traction allocation strategy for the compound electric Propulsion System
IEEE-ASME Transactions on Mechatronics, 2017Co-Authors: Fangchieh Chou, Jiayush YenAbstract:This paper presents the development of a novel compound electric Propulsion System for the ground vehicle with the emphasis on real-time, energy-efficient traction control strategy. The proposed compound electric Propulsion System employs an induction motor (IM) and two permanent-magnet synchronous motors (PMSMs) to provide traction forces for the front and rear wheels, respectively; such design is aimed to improve energy efficiency and vehicle dynamics performance of conventional electric vehicles (EVs) using IM traction Systems by exploiting complementary power characteristics of IM and PMSMs and dynamic traction allocation on all wheels. In this study, a practical traction allocation method, which is based on the power fusion and instantaneous power minimization (IPM) concepts, is proposed to dynamically control the torque loads for the IM and PMSMs such that all motors can be operated in respective high-efficiency regions. The optimal operating points (torque, speed) of IM and PMSMs are searched off-line through the IPM process, and the efficiency maps of the IM and PMSMs are combined and transformed into an optimal efficiency map of the compound electric Propulsion System. To verify the feasibility and efficacy of the proposed traction allocation strategy, hardware in the loop simulation experiments were conducted with an active motor dynamometer, IM and PMSM, and a vehicle simulator. Experiments using the U.S. EPA Urban Dynamometer Driving Schedule (FTP-72) show that the compound electric Propulsion System with the proposed traction allocation algorithm can reduce energy consumption by ∼24% as compared with the conventional IM traction System. In addition, the performance of the proposed traction allocation method is compared with alternative methods and analyzed under different control command update rates.
Zeng Fan-ming - One of the best experts on this subject based on the ideXlab platform.
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Mathematical modeling and simulation of marine water-jet Propulsion System
2006Co-Authors: Zeng Fan-mingAbstract:In a marine water-jet Propulsion System, whether the setting of System’s control parameters is correct will directly influent the working safety of water-jet pump. According to the working principle of marine water-jet Propulsion System, this paper presents a mathematical model of water-jet Propulsion System for the simulation of System dynamic working conditions. This paper gives a key analysis on the matching relationship between the main engine and water-jet pump of the Propulsion System, from the aspect of preventing the water-jet pump from operating in the limited operating area of its operating curves. Furthermore, the methods of setting some certain key control parameters of water-jet Propulsion System correctly are also analyzed in detail by means of simulation.
Zheng Yan - One of the best experts on this subject based on the ideXlab platform.
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Model-based Intelligent Configuration and Reconfiguration for Spacecraft Propulsion System
2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, 2012Co-Authors: Xiaohui Peng, Zheng Yan, Li YanjunAbstract:In view of the future development trends of Spacecraft Autonomy as well as particularity of Spacecraft Propulsion System, this paper proposes a model-based approach to Intelligent Configuration and Reconfiguration of Spacecraft Propulsion System. In this paper, given advantages of Satisfiability (SAT) planning in calculation performance and knowledge representation, we advance to transform Intelligent Configuration and Reconfiguration for Spacecraft Propulsion System into an Optimization Satisfiability problem and put forward a Clause-Based A* (CBA*) solving algorithm based on characteristic of description in SAT form. Finally, taking a high redundant spacecraft Propulsion System as the object, the feasibility of SAT-based Intelligent Configuration and Reconfiguration for Spacecraft Propulsion System is verified.
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Modeling and Simulation of System Dynamics for Spacecraft Propulsion System
Applied Mechanics and Materials, 2012Co-Authors: Zheng Yan, Xiaohui Peng, Yu Qiang ChengAbstract:The spacecraft Propulsion System is used for geosynchronous orbit transfer, three-axis stabilization and station-keeping. In order to investigate the System dynamics of spacecraft Propulsion System with complex pressurization pipelines and propellant supply pipelines, a modular and extensible simulator UPSSim was developed. The pressurant pipelines were separated into several nodes, each node used lumped parameter model; while the propellant feed pipelines used distributed parameter model. Heat transfer between components and environment was also taken into account. The model accurately predicts the transient behavior of the spacecraft Propulsion System during start-up and shutdown process, as well as the effect of pipe initial pressure on the priming waterhammer amplitude. The simulation result demonstrates the adequacy of the modular modeling methodology for spacecraft Propulsion System dynamic simulation.
Wei Yue-qiang - One of the best experts on this subject based on the ideXlab platform.
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A Method of Calculating Primary Parameter of Water-Jet Propulsion System in Amphibious Vehicles
2006Co-Authors: Wei Yue-qiangAbstract:A new method of calculating the primary parameters of the water-jet Propulsion System was put forward.Based on the designing speed of amphibious vehicle,input power of water-jet Propulsion System,loss coefficients of the intake and the jet nozzle,the elevated height of water,the parameters such as the optimum velocity ratio,the maximum System efficiency,the optimum pump head and flow rate can be calculated.
