The Experts below are selected from a list of 636 Experts worldwide ranked by ideXlab platform

Hofman T Theo - One of the best experts on this subject based on the ideXlab platform.

  • Improved implementation of dynamic programming on the example of hybrid Electric vehicle control
    'Elsevier BV', 2019
    Co-Authors: Harselaar, Wmw Van, Schreuders Niels, Hofman T Theo, Rinderknecht Stephan
    Abstract:

    Hybrid Electric Drivetrains are an example of systems that can enable discrete switching between states with very distinct continuous behavior. For the design of these Drivetrains, the required computation time for optimizing the control over a driving cycle is critical. To reduce computation time, we propose two methods to improve the implementation of dynamic programming by reducing the number of grid points that computationally demanding sub-models are evaluated for. The proposed methods do not require surrogate models and can be applied to arbitrary drivetrain topologies. A case study on a parallel, a series-parallel, and a power-split hybrid drivetrain is performed, and a reduction in computation time of up to 66% is shown

  • Ein generisches Getriebemodell für hybrid-elektrische Antriebe:Die Integration des dynamischen Verhaltens für alle konventionelle, elektrische und hybridische Antriebsmodi in einem Modell
    'Springer Fachmedien Wiesbaden GmbH', 2019
    Co-Authors: Harselaar, Wmw Van, Brouwer Markus, Hofman T Theo
    Abstract:

    \u3cp\u3eThe design problem of hybrid Electric Drivetrains has a large design space, especially, when complex dedicated hybrid transmissions that combine an internal combustion engine with multiple Electric machines are considered. To evaluate a drivetrain design over a driving cycle, a transmission model is needed. To avoid the need of modeling every drivetrain concept individually, a generic transmission model for hybrid Electric drives is developed. The developed model integrates the dynamic behavior of all conventional-, Electric-, and hybrid- transmission mode types. Mode types and mode type dependent control variables are defined. The outputs of the model are the torque and rotational speed of all power sources of the drivetrain. The inputs of the model are the torque and speed of the wheels, and the control variables. As a practical example, the model is used to compare the energy efficiency of two complex dedicated hybrid transmissions by optimizing the control for both over a driving cycle.\u3c/p\u3

  • Automated dynamic modeling of arbitrary hybrid and Electric drivetrain topologies
    'Institute of Electrical and Electronics Engineers (IEEE)', 2018
    Co-Authors: Harselaar, Wmw Van, Hofman T Theo, Brouwer Markus
    Abstract:

    \u3cp\u3eThe optimal design regarding energy efficiency of hybrid and Electric Drivetrains is a problem that includes topology generation, topology optimization, component sizing, and control. One of the challenges of this design problem is that the topology defines the plant sizing and control parameters. Furthermore, the topology also determines the transmission model that is needed for the evaluation of the sizing and control problems. To enable automated component sizing and control optimization, a novel method is presented in this paper for the automated dynamic modeling of arbitrary hybrid and Electric drivetrain topologies. In this paper, topologies are modeled at the level of (planetary) gears and clutches, making the method suitable for complex and unconventional drivetrain topologies. A generic transmission model is defined, for which the model parameters are automatically determined. The parameter determination is based on the analytic evaluation of the kinematic and kinetic properties of the components of the topology. All transmission modes are identified and classified, and infeasible and redundant modes are automatically excluded. As the method is analytic, the computation time to determine the model parameters is short (less than a second). The model, in this case, provides the rotational speeds and torques of all power sources as a function of the rotational speed and torque at the wheels, and the control variables. Using a case study, it is shown that the method can be used to automatically solve the control and sizing problems for complex drivetrain topologies.\u3c/p\u3

Brouwer Markus - One of the best experts on this subject based on the ideXlab platform.

  • Ein generisches Getriebemodell für hybrid-elektrische Antriebe:Die Integration des dynamischen Verhaltens für alle konventionelle, elektrische und hybridische Antriebsmodi in einem Modell
    'Springer Fachmedien Wiesbaden GmbH', 2019
    Co-Authors: Harselaar, Wmw Van, Brouwer Markus, Hofman T Theo
    Abstract:

    \u3cp\u3eThe design problem of hybrid Electric Drivetrains has a large design space, especially, when complex dedicated hybrid transmissions that combine an internal combustion engine with multiple Electric machines are considered. To evaluate a drivetrain design over a driving cycle, a transmission model is needed. To avoid the need of modeling every drivetrain concept individually, a generic transmission model for hybrid Electric drives is developed. The developed model integrates the dynamic behavior of all conventional-, Electric-, and hybrid- transmission mode types. Mode types and mode type dependent control variables are defined. The outputs of the model are the torque and rotational speed of all power sources of the drivetrain. The inputs of the model are the torque and speed of the wheels, and the control variables. As a practical example, the model is used to compare the energy efficiency of two complex dedicated hybrid transmissions by optimizing the control for both over a driving cycle.\u3c/p\u3

  • A generic transmission model for hybrid Electric drives integration of the dynamic behavior of all conventional-, Electric-, and hybrid-transmission mode types in a single model
    2018
    Co-Authors: Van Harselaar Wilco, Brouwer Markus, Hofman Theo
    Abstract:

    The design problem of hybrid Electric Drivetrains has a large design space, especially, when complex dedicated hybrid transmissions that combine an internal combustion engine with multiple Electric machines are considered. To evaluate a drivetrain design over a driving cycle, a transmission model is needed. To avoid the need of modeling every drivetrain concept individually, a generic transmission model for hybrid Electric drives is developed. The developed model integrates the dynamic behavior of all conventional-, Electric-, and hybrid-transmission mode types. Mode types and mode type dependent control variables are defined. The outputs of the model are the torque and rotational speed of all power sources of the drivetrain. The inputs of the model are the torque and speed of the wheels, and the control variables. As a practical example, the model is used to compare the energy efficiency of two complex dedicated hybrid transmissions by optimizing the control for both over a driving cycle

  • Automated dynamic modeling of arbitrary hybrid and Electric drivetrain topologies
    'Institute of Electrical and Electronics Engineers (IEEE)', 2018
    Co-Authors: Harselaar, Wmw Van, Hofman T Theo, Brouwer Markus
    Abstract:

    \u3cp\u3eThe optimal design regarding energy efficiency of hybrid and Electric Drivetrains is a problem that includes topology generation, topology optimization, component sizing, and control. One of the challenges of this design problem is that the topology defines the plant sizing and control parameters. Furthermore, the topology also determines the transmission model that is needed for the evaluation of the sizing and control problems. To enable automated component sizing and control optimization, a novel method is presented in this paper for the automated dynamic modeling of arbitrary hybrid and Electric drivetrain topologies. In this paper, topologies are modeled at the level of (planetary) gears and clutches, making the method suitable for complex and unconventional drivetrain topologies. A generic transmission model is defined, for which the model parameters are automatically determined. The parameter determination is based on the analytic evaluation of the kinematic and kinetic properties of the components of the topology. All transmission modes are identified and classified, and infeasible and redundant modes are automatically excluded. As the method is analytic, the computation time to determine the model parameters is short (less than a second). The model, in this case, provides the rotational speeds and torques of all power sources as a function of the rotational speed and torque at the wheels, and the control variables. Using a case study, it is shown that the method can be used to automatically solve the control and sizing problems for complex drivetrain topologies.\u3c/p\u3

  • Automated dynamic modeling of arbitrary hybrid and Electric drivetrain topologies
    'Institute of Electrical and Electronics Engineers (IEEE)', 2018
    Co-Authors: Van Harselaar Wilco, Hofman Theo, Brouwer Markus
    Abstract:

    The optimal design regarding energy efficiency of hybrid and Electric Drivetrains is a problem that includes topology generation, topology optimization, component sizing, and control. One of the challenges of this design problem is that the topology defines the plant sizing and control parameters. Furthermore, the topology also determines the transmission model that is needed for the evaluation of the sizing and control problems. To enable automated component sizing and control optimization, a novel method is presented in this paper for the automated dynamic modeling of arbitrary hybrid and Electric drivetrain topologies. In this paper, topologies are modeled at the level of (planetary) gears and clutches, making the method suitable for complex and unconventional drivetrain topologies. A generic transmission model is defined, for which the model parameters are automatically determined. The parameter determination is based on the analytic evaluation of the kinematic and kinetic properties of the components of the topology. All transmission modes are identified and classified, and infeasible and redundant modes are automatically excluded. As the method is analytic, the computation time to determine the model parameters is short (less than a second). The model, in this case, provides the rotational speeds and torques of all power sources as a function of the rotational speed and torque at the wheels, and the control variables. Using a case study, it is shown that the method can be used to automatically solve the control and sizing problems for complex drivetrain topologies

Harselaar, Wmw Van - One of the best experts on this subject based on the ideXlab platform.

  • Improved implementation of dynamic programming on the example of hybrid Electric vehicle control
    'Elsevier BV', 2019
    Co-Authors: Harselaar, Wmw Van, Schreuders Niels, Hofman T Theo, Rinderknecht Stephan
    Abstract:

    Hybrid Electric Drivetrains are an example of systems that can enable discrete switching between states with very distinct continuous behavior. For the design of these Drivetrains, the required computation time for optimizing the control over a driving cycle is critical. To reduce computation time, we propose two methods to improve the implementation of dynamic programming by reducing the number of grid points that computationally demanding sub-models are evaluated for. The proposed methods do not require surrogate models and can be applied to arbitrary drivetrain topologies. A case study on a parallel, a series-parallel, and a power-split hybrid drivetrain is performed, and a reduction in computation time of up to 66% is shown

  • Ein generisches Getriebemodell für hybrid-elektrische Antriebe:Die Integration des dynamischen Verhaltens für alle konventionelle, elektrische und hybridische Antriebsmodi in einem Modell
    'Springer Fachmedien Wiesbaden GmbH', 2019
    Co-Authors: Harselaar, Wmw Van, Brouwer Markus, Hofman T Theo
    Abstract:

    \u3cp\u3eThe design problem of hybrid Electric Drivetrains has a large design space, especially, when complex dedicated hybrid transmissions that combine an internal combustion engine with multiple Electric machines are considered. To evaluate a drivetrain design over a driving cycle, a transmission model is needed. To avoid the need of modeling every drivetrain concept individually, a generic transmission model for hybrid Electric drives is developed. The developed model integrates the dynamic behavior of all conventional-, Electric-, and hybrid- transmission mode types. Mode types and mode type dependent control variables are defined. The outputs of the model are the torque and rotational speed of all power sources of the drivetrain. The inputs of the model are the torque and speed of the wheels, and the control variables. As a practical example, the model is used to compare the energy efficiency of two complex dedicated hybrid transmissions by optimizing the control for both over a driving cycle.\u3c/p\u3

  • Automated dynamic modeling of arbitrary hybrid and Electric drivetrain topologies
    'Institute of Electrical and Electronics Engineers (IEEE)', 2018
    Co-Authors: Harselaar, Wmw Van, Hofman T Theo, Brouwer Markus
    Abstract:

    \u3cp\u3eThe optimal design regarding energy efficiency of hybrid and Electric Drivetrains is a problem that includes topology generation, topology optimization, component sizing, and control. One of the challenges of this design problem is that the topology defines the plant sizing and control parameters. Furthermore, the topology also determines the transmission model that is needed for the evaluation of the sizing and control problems. To enable automated component sizing and control optimization, a novel method is presented in this paper for the automated dynamic modeling of arbitrary hybrid and Electric drivetrain topologies. In this paper, topologies are modeled at the level of (planetary) gears and clutches, making the method suitable for complex and unconventional drivetrain topologies. A generic transmission model is defined, for which the model parameters are automatically determined. The parameter determination is based on the analytic evaluation of the kinematic and kinetic properties of the components of the topology. All transmission modes are identified and classified, and infeasible and redundant modes are automatically excluded. As the method is analytic, the computation time to determine the model parameters is short (less than a second). The model, in this case, provides the rotational speeds and torques of all power sources as a function of the rotational speed and torque at the wheels, and the control variables. Using a case study, it is shown that the method can be used to automatically solve the control and sizing problems for complex drivetrain topologies.\u3c/p\u3

Maryam Ehsani - One of the best experts on this subject based on the ideXlab platform.

  • vehicular Electric power systems land sea air and space vehicles
    2003
    Co-Authors: Ali Emadi, Maryam Ehsani
    Abstract:

    INTRODUCTION TO ElectricAL POWER SYSTEMS Fundamentals of Electric Circuits Control Systems Electrical Systems References FUNDAMENTALS OF POWER ELECTRONICS AC/DC Rectifiers DC/DC Converters DC/AC Inverters Selected Readings Electric MACHINES Electro-Mechanical Power Transfer Systems Fundamentals of Electromagnetism DC Machines Induction Machines Synchronous Machines Selected Readings AUTOMOTIVE POWER SYSTEMS Conventional 14V Electrical System Architecture Advanced Electrical Loads Increasing the System Voltage to 42V Advanced Distribution Systems Starter, Alternator, and Integrated Starter/Alternator Automobile Steering Systems Semiconductors for Automotive Applications Automotive Communication Networks and Wireless Techniques References Electric AND HYBRID Electric VEHICLES Principles of Hybrid Electric Drivetrains Architectures of Hybrid Electric Drivetrains Electrical Distribution System Architectures More Electric Hybrid Vehicles Hybrid Control Strategies Hybridization Effects 42V System for Traction Applications Heavy Duty Vehicles Electric Dragsters Modeling and Simulation of Automotive Power Systems References AIRCRAFT POWER SYSTEMS Conventional Electrical Systems Power Generation Systems Aircraft Electrical Distribution Systems Stability Analysis References SPACE POWER SYSTEMS Introduction International Space Station Spacecraft Power Systems Modeling and Analysis Real-Time State Estimation Stability Assessment References SEA AND UNDERSEA VEHICLES Power System Configurations in Sea and Undersea Vehicles Power Electronics Building Blocks (PEBBs) Controller Architecture for Power Electronic Circuits Power Management Center (PMC) Electrical Distribution System in Sea and Undersea Vehicles Advanced Electric Drives in Sea and Undersea Vehicles References FUEL CELL BASED VEHICLES Structures, Operations, and Properties of Fuel Cells Important Properties of Fuel Cells for Vehicles Light-Duty Vehicles Heavy-Duty Vehicles Current Status and Future Trends in Fuel Cell Vehicles Aerospace Applications Other Applications of Fuel Cells Conclusion References ElectricAL MODELING TECHNIQUES FOR ENERGY STORAGE DEVICES Battery Modeling Modeling of Fuel Cells Modeling of Photovoltaic (PV) Cells Modeling of Ultracapacitors Conclusion References ADVANCED MOTOR DRIVES FOR VEHICULAR APPLICATIONS Brushless DC Motor Drives Switched Reluctance Motor Drives References MULTI-CONVERTER VEHICULAR DYNAMICS AND CONTROL Multi-Converter Vehicular Power Electronic Systems Constant Power Loads and Their Characteristics Concept of Negative Impedance Instability Negative Impedance Instability in the Single PWM DC/DC Converters Stability of PWM DC/DC Converters Driving Several Loads Stability Condition in a DC Vehicular Distribution System Negative Impedance Stabilizing Control for PWM DC/DC Converters with Constant Power and Resistive Loads Conclusion References EFFECTS OF CONSTANT POWER LOADS IN AC VEHICULAR SYSTEMS Vehicular AC Distribution Systems Modeling of AC Constant Power Loads Negative Impedance Instability Conditions Hybrid (DC and AC) Vehicular Systems with Constant Power Loads Conclusion References INDEX

  • vehicular Electric power systems land sea air and space vehicles
    2003
    Co-Authors: Ali Emadi, Maryam Ehsani
    Abstract:

    INTRODUCTION TO ElectricAL POWER SYSTEMS Fundamentals of Electric Circuits Control Systems Electrical Systems References FUNDAMENTALS OF POWER ELECTRONICS AC/DC Rectifiers DC/DC Converters DC/AC Inverters Selected Readings Electric MACHINES Electro-Mechanical Power Transfer Systems Fundamentals of Electromagnetism DC Machines Induction Machines Synchronous Machines Selected Readings AUTOMOTIVE POWER SYSTEMS Conventional 14V Electrical System Architecture Advanced Electrical Loads Increasing the System Voltage to 42V Advanced Distribution Systems Starter, Alternator, and Integrated Starter/Alternator Automobile Steering Systems Semiconductors for Automotive Applications Automotive Communication Networks and Wireless Techniques References Electric AND HYBRID Electric VEHICLES Principles of Hybrid Electric Drivetrains Architectures of Hybrid Electric Drivetrains Electrical Distribution System Architectures More Electric Hybrid Vehicles Hybrid Control Strategies Hybridization Effects 42V System for Traction Applications Heavy Duty Vehicles Electric Dragsters Modeling and Simulation of Automotive Power Systems References AIRCRAFT POWER SYSTEMS Conventional Electrical Systems Power Generation Systems Aircraft Electrical Distribution Systems Stability Analysis References SPACE POWER SYSTEMS Introduction International Space Station Spacecraft Power Systems Modeling and Analysis Real-Time State Estimation Stability Assessment References SEA AND UNDERSEA VEHICLES Power System Configurations in Sea and Undersea Vehicles Power Electronics Building Blocks (PEBBs) Controller Architecture for Power Electronic Circuits Power Management Center (PMC) Electrical Distribution System in Sea and Undersea Vehicles Advanced Electric Drives in Sea and Undersea Vehicles References FUEL CELL BASED VEHICLES Structures, Operations, and Properties of Fuel Cells Important Properties of Fuel Cells for Vehicles Light-Duty Vehicles Heavy-Duty Vehicles Current Status and Future Trends in Fuel Cell Vehicles Aerospace Applications Other Applications of Fuel Cells Conclusion References ElectricAL MODELING TECHNIQUES FOR ENERGY STORAGE DEVICES Battery Modeling Modeling of Fuel Cells Modeling of Photovoltaic (PV) Cells Modeling of Ultracapacitors Conclusion References ADVANCED MOTOR DRIVES FOR VEHICULAR APPLICATIONS Brushless DC Motor Drives Switched Reluctance Motor Drives References MULTI-CONVERTER VEHICULAR DYNAMICS AND CONTROL Multi-Converter Vehicular Power Electronic Systems Constant Power Loads and Their Characteristics Concept of Negative Impedance Instability Negative Impedance Instability in the Single PWM DC/DC Converters Stability of PWM DC/DC Converters Driving Several Loads Stability Condition in a DC Vehicular Distribution System Negative Impedance Stabilizing Control for PWM DC/DC Converters with Constant Power and Resistive Loads Conclusion References EFFECTS OF CONSTANT POWER LOADS IN AC VEHICULAR SYSTEMS Vehicular AC Distribution Systems Modeling of AC Constant Power Loads Negative Impedance Instability Conditions Hybrid (DC and AC) Vehicular Systems with Constant Power Loads Conclusion References INDEX

Hofman T. - One of the best experts on this subject based on the ideXlab platform.