The Experts below are selected from a list of 5673 Experts worldwide ranked by ideXlab platform

Nong Zhang - One of the best experts on this subject based on the ideXlab platform.

  • an adaptive power split strategy for battery supercapacitor Powertrain Design simulation and experiment
    IEEE Transactions on Power Electronics, 2017
    Co-Authors: Kaiwu Feng, C Chapman, Nong Zhang
    Abstract:

    Electric vehicles (EVs) adopting both batteries and supercapacitors have attracted a significant amount of attention in research communities due to their unique power-sharing capabilities. A hybrid energy storage system (HESS) can effectively reduce power stress that would, otherwise, be applied to batteries alone, and whose weight and size is still a common concern when competing against conventional internal-combustion-engine-powered cars. In this paper, a high-level algorithm is developed to adaptively split the load between two sources for an EV adopting HESS under real-life load fluctuations. A converter—supercapacitor pack (SP) coupled HESS upon which such an algorithm is deployed on, is proposed to divert excess power into the SP via a smart power converter, which is located in between in order to regulate both behaviors. A power-split strategy is Designed to track real-time load profiles and determine one important variable: the cutoff frequency. As a consequence, relatively higher frequency portion of the load power gets channeled to the SP, and the remaining less-varying power demand is sent to the BP based on the fundamental energy-balancing equation. A simplified HESS model is developed in MATLAB, and the real-time power-split algorithm is coded using Labview and verified on a test rig. Both simulation and experimental results prove its effectiveness in coping with even the harshest driving scenarios in real life.

  • An Adaptive Power-Split Strategy for Battery–Supercapacitor Powertrain—Design, Simulation, and Experiment
    IEEE Transactions on Power Electronics, 2017
    Co-Authors: Li Sun, C Chapman, Kaiwu Feng, Nong Zhang
    Abstract:

    Electric vehicles (EVs) adopting both batteries and supercapacitors have attracted a significant amount of attention in research communities due to their unique power-sharing capabilities. A hybrid energy storage system (HESS) can effectively reduce power stress that would, otherwise, be applied to batteries alone, and whose weight and size is still a common concern when competing against conventional internal-combustion-engine-powered cars. In this paper, a high-level algorithm is developed to adaptively split the load between two sources for an EV adopting HESS under real-life load fluctuations. A converter—supercapacitor pack (SP) coupled HESS upon which such an algorithm is deployed on, is proposed to divert excess power into the SP via a smart power converter, which is located in between in order to regulate both behaviors. A power-split strategy is Designed to track real-time load profiles and determine one important variable: the cutoff frequency. As a consequence, relatively higher frequency portion of the load power gets channeled to the SP, and the remaining less-varying power demand is sent to the BP based on the fundamental energy-balancing equation. A simplified HESS model is developed in MATLAB, and the real-time power-split algorithm is coded using Labview and verified on a test rig. Both simulation and experimental results prove its effectiveness in coping with even the harshest driving scenarios in real life.

  • Comparing of single reduction and CVT based transmissions on battery electric vehicle
    The 14th IFToMM World Congress Proceeding, 2015
    Co-Authors: Jiageng Ruan, Nong Zhang, Paul Walker
    Abstract:

    With the deterioration of the air pollution, growing public concerns over the exhaustion of global fossil energy and the explosive growth of passenger vehicles, the improvement and popularity of electric vehicles (EVs) have increased in market share. The primary goal of EV Powertrain Design is achieving the same performance, e.g. launching and driving range, as that of Internal Combustion Engine vehicles. To realize this target, a novel propulsion system is proposed in this paper. A comparison of driving performance and energy saving are completed among single reduction, continuously variable transmission (CVT) and proposed system on EVs. The simulation results show that the optimized motor propulsion system has a significant improvement on battery energy saving, range extension and vehicle cost.

  • Modelling, Simulations, and Optimisation of Electric Vehicles for Analysis of Transmission Ratio Selection
    Advances in Mechanical Engineering, 2013
    Co-Authors: Paul D. Walker, Salisa Abdul Rahman, Bo Zhu, Nong Zhang
    Abstract:

    Pure electric vehicles (PEVs) provide a unique problem in Powertrain Design through the meeting of performance specifications whilst maximising driving range. The consideration of single speed and multispeed transmissions for electric vehicles provides two strategies for achieving desired range and performance specifications. Through the implementation of system level vehicle models, Design analysis, and optimisation, this paper analyses the application of both single speed and two-speed transmission applications to electric vehicles. Initially, transmission ratios are Designed based on grade and top speed requirements, and impact on vehicle traction curve is evaluated. Then performance studies are conducted for different transmission ratios using both single speed and two-speed Powertrain configurations to provide a comparative assessment of the vehicles. Finally, multivariable optimisation in the form of genetic algorithms is employed to determine an optimal gear ratio selection for single speed and two...

Kaiwu Feng - One of the best experts on this subject based on the ideXlab platform.

  • an adaptive power split strategy for battery supercapacitor Powertrain Design simulation and experiment
    IEEE Transactions on Power Electronics, 2017
    Co-Authors: Kaiwu Feng, C Chapman, Nong Zhang
    Abstract:

    Electric vehicles (EVs) adopting both batteries and supercapacitors have attracted a significant amount of attention in research communities due to their unique power-sharing capabilities. A hybrid energy storage system (HESS) can effectively reduce power stress that would, otherwise, be applied to batteries alone, and whose weight and size is still a common concern when competing against conventional internal-combustion-engine-powered cars. In this paper, a high-level algorithm is developed to adaptively split the load between two sources for an EV adopting HESS under real-life load fluctuations. A converter—supercapacitor pack (SP) coupled HESS upon which such an algorithm is deployed on, is proposed to divert excess power into the SP via a smart power converter, which is located in between in order to regulate both behaviors. A power-split strategy is Designed to track real-time load profiles and determine one important variable: the cutoff frequency. As a consequence, relatively higher frequency portion of the load power gets channeled to the SP, and the remaining less-varying power demand is sent to the BP based on the fundamental energy-balancing equation. A simplified HESS model is developed in MATLAB, and the real-time power-split algorithm is coded using Labview and verified on a test rig. Both simulation and experimental results prove its effectiveness in coping with even the harshest driving scenarios in real life.

  • An Adaptive Power-Split Strategy for Battery–Supercapacitor Powertrain—Design, Simulation, and Experiment
    IEEE Transactions on Power Electronics, 2017
    Co-Authors: Li Sun, C Chapman, Kaiwu Feng, Nong Zhang
    Abstract:

    Electric vehicles (EVs) adopting both batteries and supercapacitors have attracted a significant amount of attention in research communities due to their unique power-sharing capabilities. A hybrid energy storage system (HESS) can effectively reduce power stress that would, otherwise, be applied to batteries alone, and whose weight and size is still a common concern when competing against conventional internal-combustion-engine-powered cars. In this paper, a high-level algorithm is developed to adaptively split the load between two sources for an EV adopting HESS under real-life load fluctuations. A converter—supercapacitor pack (SP) coupled HESS upon which such an algorithm is deployed on, is proposed to divert excess power into the SP via a smart power converter, which is located in between in order to regulate both behaviors. A power-split strategy is Designed to track real-time load profiles and determine one important variable: the cutoff frequency. As a consequence, relatively higher frequency portion of the load power gets channeled to the SP, and the remaining less-varying power demand is sent to the BP based on the fundamental energy-balancing equation. A simplified HESS model is developed in MATLAB, and the real-time power-split algorithm is coded using Labview and verified on a test rig. Both simulation and experimental results prove its effectiveness in coping with even the harshest driving scenarios in real life.

C Chapman - One of the best experts on this subject based on the ideXlab platform.

  • an adaptive power split strategy for battery supercapacitor Powertrain Design simulation and experiment
    IEEE Transactions on Power Electronics, 2017
    Co-Authors: Kaiwu Feng, C Chapman, Nong Zhang
    Abstract:

    Electric vehicles (EVs) adopting both batteries and supercapacitors have attracted a significant amount of attention in research communities due to their unique power-sharing capabilities. A hybrid energy storage system (HESS) can effectively reduce power stress that would, otherwise, be applied to batteries alone, and whose weight and size is still a common concern when competing against conventional internal-combustion-engine-powered cars. In this paper, a high-level algorithm is developed to adaptively split the load between two sources for an EV adopting HESS under real-life load fluctuations. A converter—supercapacitor pack (SP) coupled HESS upon which such an algorithm is deployed on, is proposed to divert excess power into the SP via a smart power converter, which is located in between in order to regulate both behaviors. A power-split strategy is Designed to track real-time load profiles and determine one important variable: the cutoff frequency. As a consequence, relatively higher frequency portion of the load power gets channeled to the SP, and the remaining less-varying power demand is sent to the BP based on the fundamental energy-balancing equation. A simplified HESS model is developed in MATLAB, and the real-time power-split algorithm is coded using Labview and verified on a test rig. Both simulation and experimental results prove its effectiveness in coping with even the harshest driving scenarios in real life.

  • An Adaptive Power-Split Strategy for Battery–Supercapacitor Powertrain—Design, Simulation, and Experiment
    IEEE Transactions on Power Electronics, 2017
    Co-Authors: Li Sun, C Chapman, Kaiwu Feng, Nong Zhang
    Abstract:

    Electric vehicles (EVs) adopting both batteries and supercapacitors have attracted a significant amount of attention in research communities due to their unique power-sharing capabilities. A hybrid energy storage system (HESS) can effectively reduce power stress that would, otherwise, be applied to batteries alone, and whose weight and size is still a common concern when competing against conventional internal-combustion-engine-powered cars. In this paper, a high-level algorithm is developed to adaptively split the load between two sources for an EV adopting HESS under real-life load fluctuations. A converter—supercapacitor pack (SP) coupled HESS upon which such an algorithm is deployed on, is proposed to divert excess power into the SP via a smart power converter, which is located in between in order to regulate both behaviors. A power-split strategy is Designed to track real-time load profiles and determine one important variable: the cutoff frequency. As a consequence, relatively higher frequency portion of the load power gets channeled to the SP, and the remaining less-varying power demand is sent to the BP based on the fundamental energy-balancing equation. A simplified HESS model is developed in MATLAB, and the real-time power-split algorithm is coded using Labview and verified on a test rig. Both simulation and experimental results prove its effectiveness in coping with even the harshest driving scenarios in real life.

A. Shabashevich - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of Powertrain Design on effective waste heat recovery from conventional and hybrid electric vehicles
    Applied Energy, 2015
    Co-Authors: A. Shabashevich, Nadia Richards, J. Hwang, Paul A. Erickson
    Abstract:

    The growing need for efficient vehicles has led many researchers to explore various ways to utilize waste heat from the Internal Combustion Engine (ICE) to improve vehicle fuel economy. Past efforts in Waste Heat Recovery (WHR) have focused primarily on recovering waste heat from Conventional Vehicles (CV), which dissipate more than two-thirds of the fuel energy as waste heat. In general, WHR has always been considered as a secondary component to the vehicle Powertrain and as a result it has had little success, particularly in light-duty vehicles. This investigation explores WHR from a broader perspective to better understand the possibilities and limits of WHR from CVs to future highly hybridized vehicles.

  • Analysis of Powertrain Design on effective waste heat recovery from conventional and hybrid electric vehicles
    Applied Energy, 2015
    Co-Authors: A. Shabashevich, Nadia Richards, J. Hwang, Paul Erickson
    Abstract:

    Abstract The growing need for efficient vehicles has led many researchers to explore various ways to utilize waste heat from the Internal Combustion Engine (ICE) to improve vehicle fuel economy. Past efforts in Waste Heat Recovery (WHR) have focused primarily on recovering waste heat from Conventional Vehicles (CV), which dissipate more than two-thirds of the fuel energy as waste heat. In general, WHR has always been considered as a secondary component to the vehicle Powertrain and as a result it has had little success, particularly in light-duty vehicles. This investigation explores WHR from a broader perspective to better understand the possibilities and limits of WHR from CVs to future highly hybridized vehicles. Fuel energy distribution in the ICE is used to evaluate the sources of waste heat and identify exhaust energy recovery as the most promising method for improving ICE thermal efficiency. Fundamental analysis of conventional and hybrid Powertrain Design is used to investigate how they impact the availability of exhaust energy from the ICE. Models and simulations of several engines and vehicles are used to validate the theory presented for effective WHR from light-duty vehicles. The analysis focuses on how available exhaust energy changes for different vehicles, how it varies with drive cycles, and how the induced back pressure from an exhaust energy recovery system affects ICE performance. The results indicate that effective WHR is difficult to achieve in light-duty conventional vehicles, but is viable in a highly hybridized vehicles, where ICE thermal efficiency can be increased by at least 15 percent over various drive cycles.

J W Grizzle - One of the best experts on this subject based on the ideXlab platform.

  • hybrid electric Powertrain Design methodology with planetary gear sets for performance and fuel economy
    IEEE Access, 2018
    Co-Authors: Oguz H Dagci, Huei Peng, J W Grizzle
    Abstract:

    Planetary gear sets (PGs) play a key role in the Design of hybrid electric vehicles (HEVs) because they allow the realization of many unique Powertrain Designs using a limited number of components. By leveraging the capability of this mechanical device, an automated Design process for PG-based HEV systems focusing on both fuel economy and performance is introduced in this paper. The Design process consists of five major stages. In the first stage, all possible Powertrain modes of an HEV Design are automatically generated with a given set of Powertrain components. In the second stage, all Powertrain types that can be formed with a given set of components are mathematically identified, and each feasible mode is classified under one of these Powertrain types. In the third stage, computationally efficient linear programming solvers suitable for vector operations are developed for each Powertrain type to assess the gradeability, launch torque, overtaking torque, and acceleration time of each mode for all PG gear ratio combinations. In the fourth stage, the combination of modes that meets the performance requirements, and the number and location of clutches that make these mode transitions possible, are explored. As a result, each potent mode combination, the clutches necessary for the mode transition, and the auxiliary modes established as a result of all clutch state combinations constitute a Design that meets the performance criteria. In the last stage, the fuel economy improvement potential of each competent Design is evaluated. The results show that light-duty truck performance requirements can be met by many two-PG HEV Designs without sacrificing fuel economy if the appropriate analysis and synthesis techniques for exploring the entire Design space are developed.

  • Power-Split Hybrid Electric Powertrain Design with Two Planetary Gearsets for Light-Duty Truck Applications
    IFAC-PapersOnLine, 2015
    Co-Authors: Oguz H Dagci, Huei Peng, J W Grizzle
    Abstract:

    Abstract The goal of this paper is to study all feasible power-split hybrid electric Powertrains with two simple planetary gearsets (PGs) that can meet light-duty truck requirements. The Powertrains are explored and Designed using a holistic approach, which includes automated system configuration search, automated static and dynamic equation derivation, practicality check, mode transitionability analysis, Powertrain performance analyses including gradeability, launch torque, overtaking torque, 0-60mph time and fuel economy improvement potential. In the end, four two-mode power-split hybrid electric Powertrains that meet all the requirements are identified.

  • ACC - MABEL, a new robotic bipedal walker and runner
    2009 American Control Conference, 2009
    Co-Authors: J W Grizzle, Jonathan W. Hurst, Benjamin Morris, Hae-won Park, Koushil Sreenath
    Abstract:

    This paper introduces MABEL, a new platform for the study of bipedal locomotion in robots. One of the purposes of building the mechanism is to explore a novel Powertrain Design that incorporates compliance, with the objective of improving the power efficiency of the robot, both in steady state operation and in responding to disturbances. A second purpose is to inspire the development of new feedback control algorithms for running on level surfaces and walking on rough terrain. A third motivation for building the robot is science and technology outreach; indeed, it is already included in tours when K-through-12 students visit the College of Engineering at the University of Michigan. MABEL is currently walking at 1.1 m/s on a level surface, and a related monopod at Carnegie Mellon is hopping well, establishing that the testbed has the potential to realize its many objectives.