Vehicle Power Management

Author : Xi Zhang,Chris Mi
Publisher : Springer Science & Business Media
Page : 353 pages
File Size : 43,6 Mb
Release : 2011-08-12
Category : Technology & Engineering
ISBN : 9780857297365

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Vehicle Power Management by Xi Zhang,Chris Mi Pdf

Vehicle Power Management addresses the challenge of improving vehicle fuel economy and reducing emissions without sacrificing vehicle performance, reliability and durability. It opens with the definition, objectives, and current research issues of vehicle power management, before moving on to a detailed introduction to the modeling of vehicle devices and components involved in the vehicle power management system, which has been proven to be the most cost-effective and efficient method for initial-phase vehicle research and design. Specific vehicle power management algorithms and strategies, including the analytical approach, optimal control, intelligent system approaches and wavelet technology, are derived and analyzed for realistic applications. Vehicle Power Management also gives a detailed description of several key technologies in the design phases of hybrid electric vehicles containing battery management systems, component optimization, hardware-in-the-loop and software-in-the-loop. Vehicle Power Management provides graduate and upper level undergraduate students, engineers, and researchers in both academia and the automotive industry, with a clear understanding of the concepts, methodologies, and prospects of vehicle power management.

Author : Sam Davis
Publisher : SAE International
Page : 180 pages
File Size : 42,6 Mb
Release : 2020-08-31
Category : Technology & Engineering
ISBN : 9781468601459

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Managing Electric Vehicle Power by Sam Davis Pdf

Power management involves all the power consumed in an electric vehicle (EV), so it impacts the vehicle's performance, safety, and driving range. To provide these vehicle characteristics, power management: Ensures that the proper power, voltage, and current are applied to each electronic circuit. Ensures that there is isolation between low-voltage and highvoltage (HV) circuits. Offers power circuit protection against electrical disturbances that can affect internal or external circuits. Managing Electric Vehicle Power provides complete coverage for understanding how best to utilize the primary power source across all the EV's Electric Control Units. Readers will also be introduced to the qualification standards of the Automotive Electronics Council (AEC). AEC standards are a 'one-time' qualification that typically takes place at the end of the development cycle.

Author : Chris Mi,M. Abul Masrur
Publisher : John Wiley & Sons
Page : 597 pages
File Size : 41,6 Mb
Release : 2017-11-29
Category : Technology & Engineering
ISBN : 9781118970560

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Hybrid Electric Vehicles by Chris Mi,M. Abul Masrur Pdf

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 : Haiping Du,Dongpu Cao,Hui Zhang
Publisher : Woodhead Publishing
Page : 520 pages
File Size : 42,6 Mb
Release : 2017-10-19
Category : Technology & Engineering
ISBN : 9780128131091

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Modeling, Dynamics, and Control of Electrified Vehicles by Haiping Du,Dongpu Cao,Hui Zhang Pdf

Modelling, Dynamics and Control of Electrified Vehicles provides a systematic overview of EV-related key components, including batteries, electric motors, ultracapacitors and system-level approaches, such as energy management systems, multi-source energy optimization, transmission design and control, braking system control and vehicle dynamics control. In addition, the book covers selected advanced topics, including Smart Grid and connected vehicles. This book shows how EV work, how to design them, how to save energy with them, and how to maintain their safety. The book aims to be an all-in-one reference for readers who are interested in EVs, or those trying to understand its state-of-the-art technologies and future trends. Offers a comprehensive knowledge of the multidisciplinary research related to EVs and a system-level understanding of technologies Provides the state-of-the-art technologies and future trends Covers the fundamentals of EVs and their methodologies Written by successful researchers that show the deep understanding of EVs

Author : Anonim
Publisher : Unknown
Page : 362 pages
File Size : 48,5 Mb
Release : 2011-08-01
Category : Electronic
ISBN : 0857297376

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Vehicle Power Management by Anonim Pdf

Author : Simona Onori,Lorenzo Serrao,Giorgio Rizzoni
Publisher : Springer
Page : 112 pages
File Size : 46,9 Mb
Release : 2015-12-16
Category : Technology & Engineering
ISBN : 9781447167815

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Hybrid Electric Vehicles by Simona Onori,Lorenzo Serrao,Giorgio Rizzoni Pdf

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.

Author : Teng Liu
Publisher : Morgan & Claypool Publishers
Page : 99 pages
File Size : 47,5 Mb
Release : 2019-09-03
Category : Technology & Engineering
ISBN : 9781681736198

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Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles by Teng Liu Pdf

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 : Sam Davis
Publisher : SAE International
Page : 180 pages
File Size : 45,5 Mb
Release : 2020-08-31
Category : Technology & Engineering
ISBN : 9781468601442

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Managing Electric Vehicle Power by Sam Davis Pdf

Power management involves all the power consumed in an electric vehicle (EV), so it impacts the vehicle's performance, safety, and driving range. To provide these vehicle characteristics, power management: Ensures that the proper power, voltage, and current are applied to each electronic circuit. Ensures that there is isolation between low-voltage and highvoltage (HV) circuits. Offers power circuit protection against electrical disturbances that can affect internal or external circuits. Managing Electric Vehicle Power provides complete coverage for understanding how best to utilize the primary power source across all the EV's Electric Control Units. Readers will also be introduced to the qualification standards of the Automotive Electronics Council (AEC). AEC standards are a 'one-time' qualification that typically takes place at the end of the development cycle.

Author : Jili Tao,Ridong Zhang,Longhua Ma
Publisher : Elsevier
Page : 348 pages
File Size : 42,9 Mb
Release : 2024-06-07
Category : Science
ISBN : 9780443131905

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Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management by Jili Tao,Ridong Zhang,Longhua Ma Pdf

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 : Clara Marina Martinez,Dongpu Cao
Publisher : Butterworth-Heinemann
Page : 431 pages
File Size : 40,9 Mb
Release : 2018-09-11
Category : Technology & Engineering
ISBN : 9780128150115

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iHorizon-Enabled Energy Management for Electrified Vehicles by Clara Marina Martinez,Dongpu Cao Pdf

iHorizon-Enabled Energy Management for Electrified Vehicles proposes a realistic solution that assumes only scarce information is available prior to the start of a journey and that limited computational capability can be allocated for energy management. This type of framework exploits the available resources and closely emulates optimal results that are generated with an offline global optimal algorithm. In addition, the authors consider the present and future of the automotive industry and the move towards increasing levels of automation. Driver vehicle-infrastructure is integrated to address the high level of interdependence of hybrid powertrains and to comply with connected vehicle infrastructure. This book targets upper-division undergraduate students and graduate students interested in control applied to the automotive sector, including electrified powertrains, ADAS features, and vehicle automation. Addresses the level of integration of electrified powertrains Presents the state-of-the-art of electrified vehicle energy control Offers a novel concept able to perform dynamic speed profile and energy demand prediction

Author : Sheldon S. Williamson
Publisher : Springer Science & Business Media
Page : 253 pages
File Size : 52,5 Mb
Release : 2013-10-24
Category : Technology & Engineering
ISBN : 9781461477112

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Energy Management Strategies for Electric and Plug-in Hybrid Electric Vehicles by Sheldon S. Williamson Pdf

This book addresses the practical issues for commercialization of current and future electric and plug-in hybrid electric vehicles (EVs/PHEVs). The volume focuses on power electronics and motor drives based solutions for both current as well as future EV/PHEV technologies. Propulsion system requirements and motor sizing for EVs is also discussed, along with practical system sizing examples. PHEV power system architectures are discussed in detail. Key EV battery technologies are explained as well as corresponding battery management issues are summarized. Advanced power electronic converter topologies for current and future charging infrastructures will also be discussed in detail. EV/PHEV interface with renewable energy is discussed in detail, with practical examples.

Author : Danil Prokhorov
Publisher : Springer Science & Business Media
Page : 374 pages
File Size : 48,5 Mb
Release : 2008
Category : Computers
ISBN : 9783540792567

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Computational Intelligence in Automotive Applications by Danil Prokhorov Pdf

This edited volume is the first of its kind and provides a representative sample of contemporary computational intelligence (CI) activities in the area of automotive technology. All chapters contain overviews of the state-of-the-art.

Author : Teng Liu
Publisher : Springer Nature
Page : 90 pages
File Size : 49,6 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031015038

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Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles by Teng Liu Pdf

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 : James Marco,Quang Truong Dinh,Stefano Longo
Publisher : MDPI
Page : 238 pages
File Size : 40,9 Mb
Release : 2020-01-15
Category : Technology & Engineering
ISBN : 9783039218622

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Energy Storage and Management for Electric Vehicles by James Marco,Quang Truong Dinh,Stefano Longo Pdf

This Special Edition of Energies on “Energy Storage and Management for Electric Vehicles” draws together a collection of research papers that critically evaluates key areas of innovation and novelty when designing and managing the high-voltage battery system within an electrified powertrain. The addressed topics include design optimisation, mathematical modelling, control engineering, thermal management, and component sizing.

Author : Chitra A.,Sanjeevikumar Padmanaban,Jens Bo Holm-Nielsen,S. Himavathi
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 52,7 Mb
Release : 2020-07-21
Category : Computers
ISBN : 9781119681908

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Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles by Chitra A.,Sanjeevikumar Padmanaban,Jens Bo Holm-Nielsen,S. Himavathi Pdf

Electric vehicles are changing transportation dramatically and this unique book merges the many disciplines that contribute research to make EV possible, so the reader is informed about all the underlying science and technologies driving the change. An emission-free mobility system is the only way to save the world from the greenhouse effect and other ecological issues. This belief has led to a tremendous growth in the demand for electric vehicles (EV) and hybrid electric vehicles (HEV), which are predicted to have a promising future based on the goals fixed by the European Commission's Horizon 2020 program. This book brings together the research that has been carried out in the EV/HEV sector and the leading role of advanced optimization techniques with artificial intelligence (AI). This is achieved by compiling the findings of various studies in the electrical, electronics, computer, and mechanical domains for the EV/HEV system. In addition to acting as a hub for information on these research findings, the book also addresses the challenges in the EV/HEV sector and provides proven solutions that involve the most promising AI techniques. Since the commercialization of EVs/HEVs still remains a challenge in industries in terms of performance and cost, these are the two tradeoffs which need to be researched in order to arrive at an optimal solution. Therefore, this book focuses on the convergence of various technologies involved in EVs/HEVs. Since all countries will gradually shift from conventional internal combustion (IC) engine-based vehicles to EVs/HEVs in the near future, it also serves as a useful reliable resource for multidisciplinary researchers and industry teams.