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Author: Jeremy Wise
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In this paper, the need to develop a control strategy and test apparatus for nextgeneration hybrid vehicles was realized. The complexity of today's and future hybridvehicles necessitates the need for an equally advanced method of control that can extractthe optimal fuel economy from the system as a whole. A review of existing hybrid vehicle control strategies was performed. Overall, muchresearch has been done on the optimization of series and parallel type vehicles, butvirtually no information was found on the optimal use of advanced powersplit drivetrains. However, the control strategy concepts explored in the literature are useful, and can beextended to complex architectures like the General Motors Two-Mode design. Theequivalent consumption minimization strategy (ECMS) method developed by Rizzoni etal at the Ohio State University has proven to be a well developed control strategy that hasseen much progress over the last decade. Although it has been only demonstrated onparallel-type vehicles, it was chosen as the basis for the control strategy methodology. An in-depth analysis on the Two-Mode transmission operation was performed. Thefundamental equations for each of its range states were derived for future use indeveloping a plant model, and for use in control strategy development. The torque andspeed capabilities of each of its modes and gears were analysed. A detailed plant model was created to form a virtual test bed for control strategy development purposes. The models use empirical data provided by manufactures, which ensures a reasonable level of accuracy in portraying component constraints and efficiencies. Building on the ECMS, a similar hybrid vehicle control strategy was developed forTwo-Mode transmission based vehicles. It was modified to handle two degrees offreedom as required by the system. Its objective is to constantly minimize the totalequivalent power use in the system which is defined as the sum of the chemical power inthe fuel and the power used by the battery multiplied by an equivalency factor. Overall, the control strategy provides a strong basis for the optimal control of nextgenerationhybrid vehicles incorporating powersplit transmissions. It is suggested thatfurther research be explored in combining rule-based control methods with the developedoptimization based method since rule-based methods can add the stability required forenhanced drivability.
Author: Jeremy Wise
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In this paper, the need to develop a control strategy and test apparatus for nextgeneration hybrid vehicles was realized. The complexity of today's and future hybridvehicles necessitates the need for an equally advanced method of control that can extractthe optimal fuel economy from the system as a whole. A review of existing hybrid vehicle control strategies was performed. Overall, muchresearch has been done on the optimization of series and parallel type vehicles, butvirtually no information was found on the optimal use of advanced powersplit drivetrains. However, the control strategy concepts explored in the literature are useful, and can beextended to complex architectures like the General Motors Two-Mode design. Theequivalent consumption minimization strategy (ECMS) method developed by Rizzoni etal at the Ohio State University has proven to be a well developed control strategy that hasseen much progress over the last decade. Although it has been only demonstrated onparallel-type vehicles, it was chosen as the basis for the control strategy methodology. An in-depth analysis on the Two-Mode transmission operation was performed. Thefundamental equations for each of its range states were derived for future use indeveloping a plant model, and for use in control strategy development. The torque andspeed capabilities of each of its modes and gears were analysed. A detailed plant model was created to form a virtual test bed for control strategy development purposes. The models use empirical data provided by manufactures, which ensures a reasonable level of accuracy in portraying component constraints and efficiencies. Building on the ECMS, a similar hybrid vehicle control strategy was developed forTwo-Mode transmission based vehicles. It was modified to handle two degrees offreedom as required by the system. Its objective is to constantly minimize the totalequivalent power use in the system which is defined as the sum of the chemical power inthe fuel and the power used by the battery multiplied by an equivalency factor. Overall, the control strategy provides a strong basis for the optimal control of nextgenerationhybrid vehicles incorporating powersplit transmissions. It is suggested thatfurther research be explored in combining rule-based control methods with the developedoptimization based method since rule-based methods can add the stability required forenhanced drivability.
Author: Praveen Medisetti
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 124
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Book Description
This thesis explains various stages of the vehicle controller development, especially for a Hybrid Electric Vehicle (HEV), and documents the development of a platform for vehicle controller testing. Two stages of testing a vehicle controller, namely Software-in-Loop (SIL) simulation and Hardware-in-Loop (HIL) simulation, are explained in a stepwise manner for the series-parallel 2x2 HEV. The idea of using a common tool from the design stage to the prototyping stage is demonstrated. The series-parallel 2x2 HEV is modeled using the Powertrain Systems Analysis Toolkit (PSAT) in Matlab/Simulink. A rule based vehicle control strategy is added to the existing control libraries in PSAT. The SIL testing of the HEV model is done by exercising it over various drive cycles. A HIL platform is built from the ground up using commercially available off-the-shelf computers and Input/Output cards. The offline model of the HEV is simulated on the HIL platform to start the vehicle controller testing process. The preliminary HEV model was used to demonstrate the capabilities of the HIL setup. The HIL simulation setup is scalable and allows the incorporation of additional computational nodes for distributed simulation of complex systems without a major change to the original setup. The HEV model is run in real time on two computation nodes and the differences between offline and online simulations are discussed. The HIL simulation platform is successfully built and can be used for testing and tuning the vehicle controller.
Author: Bram de Jager
Publisher: Springer Science & Business Media
ISBN: 1447150767
Category : Technology & Engineering
Languages : en
Pages : 159
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Book Description
Optimal Control of Hybrid Vehicles provides a description of power train control for hybrid vehicles. The background, environmental motivation and control challenges associated with hybrid vehicles are introduced. The text includes mathematical models for all relevant components in the hybrid power train. The power split problem in hybrid power trains is formally described and several numerical solutions detailed, including dynamic programming and a novel solution for state-constrained optimal control problems based on the maximum principle. Real-time-implementable strategies that can approximate the optimal solution closely are dealt with in depth. Several approaches are discussed and compared, including a state-of-the-art strategy which is adaptive for vehicle conditions like velocity and mass. Three case studies are included in the book: • a control strategy for a micro-hybrid power train; • experimental results obtained with a real-time strategy implemented in a hybrid electric truck; and • an analysis of the optimal component sizes for a hybrid power train. Optimal Control of Hybrid Vehicles will appeal to academic researchers and graduate students interested in hybrid vehicle control or in the applications of optimal control. Practitioners working in the design of control systems for the automotive industry will also find the ideas propounded in this book of interest.
Author: Wei Liu
Publisher: John Wiley & Sons
ISBN: 1118407393
Category : Transportation
Languages : en
Pages : 428
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Book Description
This is an engineering reference book on hybrid vehicle system analysis and design, an outgrowth of the author's substantial work in research, development and production at the National Research Council Canada, Azure Dynamics and now General Motors. It is an irreplaceable tool for helping engineers develop algorithms and gain a thorough understanding of hybrid vehicle systems. This book covers all the major aspects of hybrid vehicle modeling, control, simulation, performance analysis and preliminary design. It not only systemically provides the basic knowledge of hybrid vehicle system configuration and main components, but also details their characteristics and mathematic models. Provides valuable technical expertise necessary for building hybrid vehicle system and analyzing performance via drivability, fuel economy and emissions Built from the author's industry experience at major vehicle companies including General Motors and Azure Dynamics Inc. Offers algorithm implementations and figures/examples extracted from actual practice systems Suitable for a training course on hybrid vehicle system development with supplemental materials An essential resource enabling hybrid development and design engineers to understand the hybrid vehicle systems necessary for control algorithm design and developments.
Author: Amir Taghavipour
Publisher: Springer
ISBN: 3030003140
Category : Technology & Engineering
Languages : en
Pages : 198
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Book Description
Intelligent Control of Connected Plug-in Hybrid Electric Vehicles presents the development of real-time intelligent control systems for plug-in hybrid electric vehicles, which involves control-oriented modelling, controller design, and performance evaluation. The controllers outlined in the book take advantage of advances in vehicle communications technologies, such as global positioning systems, intelligent transportation systems, geographic information systems, and other on-board sensors, in order to provide look-ahead trip data. The book contains simple and efficient models and fast optimization algorithms for the devised controllers to address the challenge of real-time implementation in the design of complex control systems. Using the look-ahead trip information, the authors of the book propose intelligent optimal model-based control systems to minimize the total energy cost, for both grid-derived electricity and fuel. The multilayer intelligent control system proposed consists of trip planning, an ecological cruise controller, and a route-based energy management system. An algorithm that is designed to take advantage of previewed trip information to optimize battery depletion profiles is presented in the book. Different control strategies are compared and ways in which connecting vehicles via vehicle-to-vehicle communication can improve system performance are detailed. Intelligent Control of Connected Plug-in Hybrid Electric Vehicles is a useful source of information for postgraduate students and researchers in academic institutions participating in automotive research activities. Engineers and designers working in research and development for automotive companies will also find this book of interest. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Author: Rui Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 137
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Book Description
Author: Jili Tao
Publisher: Elsevier
ISBN: 0443131902
Category : Science
Languages : en
Pages : 348
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Book Description
Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state-of-the-art in hybrid electric vehicle system modelling and management. With a focus on learning-based energy management strategies, the book provides detailed methods, mathematical models, and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle.The book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling, and then introduces several artificial intelligence-based energy management strategies of HEV systems, including those based on fuzzy control with driving pattern recognition, multi objective optimization, fuzzy Q-learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies, the book also introduces State of Charge and State of Health prediction methods and real time driving pattern recognition. For each application, the detailed experimental process, program code, experimental results, and algorithm performance evaluation are provided.Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management is a valuable reference for anyone involved in the modelling and management of hybrid electric vehicles, and will be of interest to graduate students, researchers, and professionals working on HEVs in the fields of energy, electrical, and automotive engineering. Provides a guide to the modeling and simulation methods of hybrid electric vehicle energy systems, including fuel cell systems Describes the fundamental concepts and theory behind CNN, MPC, fuzzy control, multi objective optimization, fuzzy Q-learning and DDPG Explains how to use energy management methods such as parameter estimation, Q-learning, and pattern recognition, including battery State of Health and State of Charge prediction, and vehicle operating conditions
Author: Andreas Linderholt
Publisher: Springer Nature
ISBN: 3030476308
Category : Technology & Engineering
Languages : en
Pages : 201
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Book Description
Dynamics of Coupled Structures, Volume 4: Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020, the fourth volume of eight from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of the Dynamics of Coupled Structures, including papers on: Methods for Dynamic Substructures Applications for Dynamic Substructures Interfaces & Substructuring Frequency Based Substructuring Transfer Path Analysis
Author: Wei Liu
Publisher: John Wiley & Sons
ISBN: 1119279321
Category : Technology & Engineering
Languages : en
Pages : 584
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Book Description
This new edition includes approximately 30% new materials covering the following information that has been added to this important work: extends the contents on Li-ion batteries detailing the positive and negative electrodes and characteristics and other components including binder, electrolyte, separator and foils, and the structure of Li-ion battery cell. Nickel-cadmium batteries are deleted. adds a new section presenting the modelling of multi-mode electrically variable transmission, which gradually became the main structure of the hybrid power-train during the last 5 years. newly added chapter on noise and vibration of hybrid vehicles introduces the basics of vibration and noise issues associated with power-train, driveline and vehicle vibrations, and addresses control solutions to reduce the noise and vibration levels. Chapter 10 (chapter 9 of the first edition) is extended by presenting EPA and UN newly required test drive schedules and test procedures for hybrid electric mileage calculation for window sticker considerations. In addition to the above major changes in this second edition, adaptive charging sustaining point determination method is presented to have a plug-in hybrid electric vehicle with optimum performance.
Author: Simona Onori
Publisher: Springer
ISBN: 1447167813
Category : Technology & Engineering
Languages : en
Pages : 121
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Book Description
This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle’s power is provided by each source instant by instant. Hybrid Electric Vehicles: •introduces methods for modeling energy flow in hybrid electric vehicles; •presents a standard mathematical formulation of the optimal control problem; •discusses different optimization and control strategies for energy management, integrating the most recent research results; and •carries out an overall comparison of the different control strategies presented. Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies.
