Powertrain Optimization of an Autonomous Electric Vehicle PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Powertrain Optimization of an Autonomous Electric Vehicle PDF full book. Access full book title Powertrain Optimization of an Autonomous Electric Vehicle by Ullekh Raghunatha Gambhira. Download full books in PDF and EPUB format.
Author: Ullekh Raghunatha Gambhira Publisher: ISBN: Category : Automated vehicles Languages : en Pages : 117
Book Description
In this thesis, a novel approach is presented for the powertrain optimization of electric autonomous transportation vehicles. Two applications of a Level 5 Autonomous Vehicle (AV) are investigated; pure Autonomous Driving (AD) and mixed Human and Autonomous Driving (HAD). The powertrain-system design process is demonstrated for both the applications. In addition, the tradeoffs in using a HAD optimized powertrain for autonomous driving, compared to an AD optimized powertrain is addressed. A system level model is developed in MATLAB and Simulink to predict low-frequency dynamics. Two architectures of the electric powertrain, single (Front Wheel Drive) and double motor (All Wheel Drive) are considered. The optimization problem is set up, which includes defining the objective function, design space, static constraints and inputs for AD and HAD. Comfort requirements for AVs constrain the permissible acceleration while driving. Autonomous drive cycles are represented by optimal trajectories subject to constraints. Optimal powertrains for both the applications are expressed as Pareto fronts. It is observed that there isn’t a particular trend between energy consumption and powertrain power, and even higher powered powertrains provide similar energy consumption values. The energy savings in driving autonomously is primarily attributed to the optimized trajectory, rather than optimized powertrain.
Author: Ullekh Raghunatha Gambhira Publisher: ISBN: Category : Automated vehicles Languages : en Pages : 117
Book Description
In this thesis, a novel approach is presented for the powertrain optimization of electric autonomous transportation vehicles. Two applications of a Level 5 Autonomous Vehicle (AV) are investigated; pure Autonomous Driving (AD) and mixed Human and Autonomous Driving (HAD). The powertrain-system design process is demonstrated for both the applications. In addition, the tradeoffs in using a HAD optimized powertrain for autonomous driving, compared to an AD optimized powertrain is addressed. A system level model is developed in MATLAB and Simulink to predict low-frequency dynamics. Two architectures of the electric powertrain, single (Front Wheel Drive) and double motor (All Wheel Drive) are considered. The optimization problem is set up, which includes defining the objective function, design space, static constraints and inputs for AD and HAD. Comfort requirements for AVs constrain the permissible acceleration while driving. Autonomous drive cycles are represented by optimal trajectories subject to constraints. Optimal powertrains for both the applications are expressed as Pareto fronts. It is observed that there isn’t a particular trend between energy consumption and powertrain power, and even higher powered powertrains provide similar energy consumption values. The energy savings in driving autonomously is primarily attributed to the optimized trajectory, rather than optimized powertrain.
Author: Donghai Hu Publisher: Springer Nature ISBN: 9811650519 Category : Technology & Engineering Languages : en Pages : 146
Book Description
This book introduces the application of nonlinear dynamics theory for driving system of electric vehicle and hybrid electric vehicle respectively. It establishes the dynamic models for driving system of electric vehicle and hybrid electric vehicle under various working conditions. And the nonlinear dynamics theory is applied to the qualitative analysis and quantitative calculation for the models. The theoretical analysis results are applied to guide the optimization of control strategies. In the end of each chapter, corresponding simulations or experiments are provided to verify the corresponding instances which are carefully selected. This book will give some guidance to readers when they deal with nonlinear dynamics problems of vehicles in the future and provide theoretical bases for the further study of the nonlinear dynamics for driving system of electric vehicle and hybrid electric vehicle. The book is written for engineer of electric vehicle and hybrid vehicle, teachers and students majoring in automobile and automation.
Author: Yueying Zhu Publisher: Springer Nature ISBN: 9811648514 Category : Technology & Engineering Languages : en Pages : 389
Book Description
This book is intended for engineer’s in automotive industry and in research community of electrical machines. This book systematically focus on all the major aspects of switched reluctance motor for intelligent electric vehicle applications, including optimization design, drive system control, regenerative braking control, and motor-suspension system control, which is particularly suited for readers who are interested to learn the theory of the motor used for intelligent electric vehicles.The comprehensive and systematic treatment of practical issues around switched reluctance motor considering vehicle requirments is one of the major features of the book. The book can benefit researchers, engineers, and graduate students in fields of switched reluctance motor, electric vehicle drive system, regenerative braking system, motor-suspension system, etc.
Author: John G. Hayes Publisher: John Wiley & Sons ISBN: 1119063647 Category : Technology & Engineering Languages : en Pages : 564
Book Description
The why, what and how of the electric vehicle powertrain Empowers engineering professionals and students with the knowledge and skills required to engineer electric vehicle powertrain architectures, energy storage systems, power electronics converters and electric drives. The modern electric powertrain is relatively new for the automotive industry, and engineers are challenged with designing affordable, efficient and high-performance electric powertrains as the industry undergoes a technological evolution. Co-authored by two electric vehicle (EV) engineers with decades of experience designing and putting into production all of the powertrain technologies presented, this book provides readers with the hands-on knowledge, skills and expertise they need to rise to that challenge. This four-part practical guide provides a comprehensive review of battery, hybrid and fuel cell EV systems and the associated energy sources, power electronics, machines, and drives. Introduces and holistically integrates the key EV powertrain technologies. Provides a comprehensive overview of existing and emerging automotive solutions. Provides experience-based expertise for vehicular and powertrain system and sub-system level study, design, and optimization. Presents many examples of powertrain technologies from leading manufacturers. Discusses the dc traction machines of the Mars rovers, the ultimate EVs from NASA. Investigates the environmental motivating factors and impacts of electromobility. Presents a structured university teaching stream from introductory undergraduate to postgraduate. Includes real-world problems and assignments of use to design engineers, researchers, and students alike. Features a companion website with numerous references, problems, solutions, and practical assignments. Includes introductory material throughout the book for the general scientific reader. Contains essential reading for government regulators and policy makers. Electric Powertrain: Energy Systems, Power Electronics and Drives for Hybrid, Electric and Fuel Cell Vehicles is an important professional resource for practitioners and researchers in the battery, hybrid, and fuel cell EV transportation industry. The resource is a structured, holistic textbook for the teaching of the fundamental theories and applications of energy sources, power electronics, and electric machines and drives to engineering undergraduate and postgraduate students.
Author: Antonio Sciarretta Publisher: Springer ISBN: 3030241270 Category : Technology & Engineering Languages : en Pages : 294
Book Description
This book elaborates the science and engineering basis for energy-efficient driving in conventional and autonomous cars. After covering the physics of energy-efficient motion in conventional, hybrid, and electric powertrains, the book chiefly focuses on the energy-saving potential of connected and automated vehicles. It reveals how being connected to other vehicles and the infrastructure enables the anticipation of upcoming driving-relevant factors, e.g. hills, curves, slow traffic, state of traffic signals, and movements of nearby vehicles. In turn, automation allows vehicles to adjust their motion more precisely in anticipation of upcoming events, and to save energy. Lastly, the energy-efficient motion of connected and automated vehicles could have a harmonizing effect on mixed traffic, leading to additional energy savings for neighboring vehicles. Building on classical methods of powertrain modeling, optimization, and optimal control, the book further develops the theory of energy-efficient driving. In addition, it presents numerous theoretical and applied case studies that highlight the real-world implications of the theory developed. The book is chiefly intended for undergraduate and graduate engineering students and industry practitioners with a background in mechanical, electrical, or automotive engineering, computer science or robotics.
Author: Teng Liu Publisher: Springer Nature ISBN: 3031015037 Category : Technology & Engineering Languages : en Pages : 90
Book Description
Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles. Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application. In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
Author: Chris Mi Publisher: John Wiley & Sons ISBN: 111897056X Category : Technology & Engineering Languages : en Pages : 597
Book Description
The latest developments in the field of hybrid electric vehicles Hybrid Electric Vehicles provides an introduction to hybrid vehicles, which include purely electric, hybrid electric, hybrid hydraulic, fuel cell vehicles, plug-in hybrid electric, and off-road hybrid vehicular systems. It focuses on the power and propulsion systems for these vehicles, including issues related to power and energy management. Other topics covered include hybrid vs. pure electric, HEV system architecture (including plug-in & charging control and hydraulic), off-road and other industrial utility vehicles, safety and EMC, storage technologies, vehicular power and energy management, diagnostics and prognostics, and electromechanical vibration issues. Hybrid Electric Vehicles, Second Edition is a comprehensively updated new edition with four new chapters covering recent advances in hybrid vehicle technology. New areas covered include battery modelling, charger design, and wireless charging. Substantial details have also been included on the architecture of hybrid excavators in the chapter related to special hybrid vehicles. Also included is a chapter providing an overview of hybrid vehicle technology, which offers a perspective on the current debate on sustainability and the environmental impact of hybrid and electric vehicle technology. Completely updated with new chapters Covers recent developments, breakthroughs, and technologies, including new drive topologies Explains HEV fundamentals and applications Offers a holistic perspective on vehicle electrification Hybrid Electric Vehicles: Principles and Applications with Practical Perspectives, Second Edition is a great resource for researchers and practitioners in the automotive industry, as well as for graduate students in automotive engineering.
Author: Jared Tyler Oakley Publisher: ISBN: Category : Languages : en Pages : 134
Book Description
Mississippi State University was selected for participation in the EcoCAR 3 Advance Vehicle Technology Competition. The team designed its architecture around the use of two UQM electric motors, and a Weber MPE 850cc turbocharged engine. To combine the three inputs into a singular output a custom gearbox was designed with seven helical gears. The gears were designed to handle the high torque and speeds the vehicle would experience. The use of this custom gearbox allows for a variety of control strategies. By optimizing the torque supplied by each motor, the overall energy consumption of the vehicle could be reduced. Additionally, studies were completed on the engine to understand the effects of injecting water into the engine’s intake manifold at 25% pedal request from 2000-3500 rpm. Overall, every speed showed an optimum at 20% water to fuel ratio, which obtained reductions in brake specific fuel consumption of up to 9.4%.
Author: Ullekh Raghunatha Gambhira
Author: Ullekh Raghunatha Gambhira
Author: Donghai Hu
Author: Yueying Zhu
Author: Kristin Lucia Marie Dahlgren
Author: Mattias Åsbogård
Author: John G. Hayes
Author: Antonio Sciarretta
Author: Teng Liu
Author: Chris Mi
Author: Jared Tyler Oakley