Optimal Energy Management System Of Plug In Hybrid Electric Vehicle

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Optimal Energy Management System of Plug-in Hybrid Electric Vehicle

Author : Harpreetsingh Banvait
Publisher :
ISBN 13 :
Total Pages : 188 pages
Book Rating : 4.:/5 (529 download)

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Book Synopsis Optimal Energy Management System of Plug-in Hybrid Electric Vehicle by : Harpreetsingh Banvait

Download or read book Optimal Energy Management System of Plug-in Hybrid Electric Vehicle written by Harpreetsingh Banvait and published by . This book was released on 2009 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plug-in Hybrid Electric Vehicles (PHEV) are new generation Hybrid Electric Vehicles (HEV) with larger battery capacity compared to Hybrid Electric Vehicles. They can store electrical energy from a domestic power supply and can drive the vehicle alone in Electric Vehicle (EV) mode. According to the U.S. Department of Transportation 80 % of the American driving public on average drives under 50 miles per day. A PHEV vehicle that can drive up to 50 miles by making maximum use of cheaper electrical energy from a domestic supply can significantly reduce the conventional fuel consumption. This may also help in improving the environment as PHEVs emit less harmful gases. However, the Energy Management System (EMS) of PHEVs would have to be very different from existing EMSs of HEVs. In this thesis, three different Energy Management Systems have been designed specifically for PHEVs using simulated study. For most of the EMS development mathematical vehicle models for powersplit drivetrain configuration are built and later on the results are tested on advanced vehicle modeling tools like ADVISOR or PSAT. The main objective of the study is to design EMSs to reduce fuel consumption by the vehicle. These EMSs are compared with existing EMSs which show overall improvement. x In this thesis the final EMS is designed in three intermediate steps. First, a simple rule based EMS was designed to improve the fuel economy for parametric study. Second, an optimized EMS was designed with the main objective to improve fuel economy of the vehicle. Here Particle Swarm Optimization (PSO) technique is used to obtain the optimum parameter values. This EMS has provided optimum parameters which result in optimum blended mode operation of the vehicle. Finally, to obtain optimum charge depletion and charge sustaining mode operation of the vehicle an advanced PSO EMS is designed which provides optimal results for the vehicle to operate in charge depletion and charge sustaining modes. Furthermore, to implement the developed advanced PSO EMS in real-time a possible real time implementation technique is designed using neural networks. This neural network implementation provides sub-optimal results as compared to advanced PSO EMS results but it can be implemented in real time in a vehicle. These EMSs can be used to obtain optimal results for the vehicle driving conditions such that fuel economy is improved. Moreover, the optimal designed EMS can also be implemented in real-time using the neural network procedure described.

Real-time Optimal Energy Management System for Plug-in Hybrid Electric Vehicles

Author : Amir Taghavipour
Publisher :
ISBN 13 :
Total Pages : 191 pages
Book Rating : 4.:/5 (96 download)

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Book Synopsis Real-time Optimal Energy Management System for Plug-in Hybrid Electric Vehicles by : Amir Taghavipour

Download or read book Real-time Optimal Energy Management System for Plug-in Hybrid Electric Vehicles written by Amir Taghavipour and published by . This book was released on 2014 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Air pollution and rising fuel costs are becoming increasingly important concerns for the transportation industry. Hybrid electric vehicles (HEVs) are seen as a solution to these problems as they off er lower emissions and better fuel economy compared to conventional internal combustion engine vehicles. A typical HEV powertrain consists of an internal combustion engine, an electric motor/generator, and a power storage device (usually a battery). Another type of HEV is the plug-in hybrid electric vehicle (PHEV), which is conceptually similar to the fully electric vehicle. The battery in a PHEV is designed to be fully charged using a conventional home electric plug or a charging station. As such, the vehicle can travel further in full-electric mode, which greatly improves the fuel economy of PHEVs compared to HEVs. In this study, an optimal energy management system (EMS) for a PHEV is designed to minimize fuel consumption by considering engine emissions reduction. This is achieved by using the model predictive control (MPC) approach. MPC is an optimal model-based approach that can accommodate the many constraints involved in the design of EMSs, and is suitable for real-time implementations. The design and real-time implementation of such a control approach involves control-oriented modeling, controller design (including high-level and low-level controllers), and control scheme performance evaluation. All of these issues will be addressed in this thesis. A control-relevant parameter estimation (CRPE) approach is used to make the control-oriented model more accurate. This improves the EMS performance, while maintaining its real-time implementation capability. To reduce the computational complexity, the standard MPC controller is replaced by its explicit form. The explicit model predictive controller (eMPC) achieves the same performance as the implicit MPC, but requires less computational effort, which leads to a fast and reliable implementation. The performance of the control scheme is evaluated through different stages of model-in-the-loop (MIL) simulations with an equation-based and validated high-fidelity simulation model of a PHEV powertrain. Finally, the CRPE-eMPC EMS is validated through a hardware-in-the-loop (HIL) test. HIL simulation shows that the proposed EMS can be implemented to a commercial control hardware in real time and results in promising fuel economy figures and emissions performance, while maintaining vehicle drivability.

Hybrid Electric Vehicles

Author : Simona Onori
Publisher : Springer
ISBN 13 : 1447167813
Total Pages : 121 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Hybrid Electric Vehicles by : Simona Onori

Download or read book Hybrid Electric Vehicles written by Simona Onori and published by Springer. This book was released on 2015-12-16 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Modeling and Real-time Optimal Energy Management for Hybrid and Plug-in Hybrid Electric Vehicles

Author : Jian Dong
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (119 download)

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Book Synopsis Modeling and Real-time Optimal Energy Management for Hybrid and Plug-in Hybrid Electric Vehicles by : Jian Dong

Download or read book Modeling and Real-time Optimal Energy Management for Hybrid and Plug-in Hybrid Electric Vehicles written by Jian Dong and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, hybrid electric propulsion technology provides a promising and practical solution for improving vehicle performance, increasing energy efficiency, and reducing harmful emissions, due to the additional flexibility that the technology has provided in the optimal power control and energy management, which are the keys to its success. In this work, a systematic approach for real-time optimal energy management of hybrid electric vehicles (HEVs) and plug-in hybrid electric vehicles (PHEVs) has been introduced and validated through two HEV/PHEV case studies. Firstly, a new analytical model of the optimal control problem for the Toyota Prius HEV with both offline and real-time solutions was presented and validated through Hardware-in-Loop (HIL) real-time simulation. Secondly, the new online or real-time optimal control algorithm was extended to a multi-regime PHEV by modifying the optimal control objective function and introducing a real-time implementable control algorithm with an adaptive coefficient tuning strategy. A number of practical issues in vehicle control, including drivability, controller integration, etc. are also investigated. The new algorithm was also validated on various driving cycles using both Model-in-Loop (MIL) and HIL environment. This research better utilizes the energy efficiency and emissions reduction potentials of hybrid electric powertrain systems, and forms the foundation for development of the next generation HEVs and PHEVs.

Vehicle Propulsion Systems

Author : Lino Guzzella
Publisher : Springer Science & Business Media
ISBN 13 : 3540746927
Total Pages : 345 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Vehicle Propulsion Systems by : Lino Guzzella

Download or read book Vehicle Propulsion Systems written by Lino Guzzella and published by Springer Science & Business Media. This book was released on 2007-09-21 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors of this text have written a comprehensive introduction to the modeling and optimization problems encountered when designing new propulsion systems for passenger cars. It is intended for persons interested in the analysis and optimization of vehicle propulsion systems. Its focus is on the control-oriented mathematical description of the physical processes and on the model-based optimization of the system structure and of the supervisory control algorithms.

Energy Management Strategies for Electric and Plug-in Hybrid Electric Vehicles

Author : Sheldon S. Williamson
Publisher : Springer Science & Business Media
ISBN 13 : 1461477115
Total Pages : 263 pages
Book Rating : 4.4/5 (614 download)

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

Download or read book Energy Management Strategies for Electric and Plug-in Hybrid Electric Vehicles written by Sheldon S. Williamson and published by Springer Science & Business Media. This book was released on 2013-10-24 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

Author : Teng Liu
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681736195
Total Pages : 99 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles by : Teng Liu

Download or read book Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles written by Teng Liu and published by Morgan & Claypool Publishers. This book was released on 2019-09-03 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Optimal Energy Management Strategy for Hybrid Electric Vehicles with Consideration of Battery Life

Author : Li Tang
Publisher :
ISBN 13 :
Total Pages : 213 pages
Book Rating : 4.:/5 (999 download)

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Book Synopsis Optimal Energy Management Strategy for Hybrid Electric Vehicles with Consideration of Battery Life by : Li Tang

Download or read book Optimal Energy Management Strategy for Hybrid Electric Vehicles with Consideration of Battery Life written by Li Tang and published by . This book was released on 2017 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: The dissertation offers a systematic analysis on the interdependency between fuel economy and battery capacity degradation in hybrid electric vehicles. Optimal control approaches including Dynamic Programming and Pontryagin's Minimum Principle are used to develop energy management strategies, which are able to optimally tradeoff fuel consumption and battery aging. Based on the optimal solutions, a real-time implementable battery-aging-conscious Adaptive Equivalent Consumption Management Strategy is proposed, which is able to achieve performance that is comparable to optimal results. In addition, an optimal control based charging strategy for plug-in hybrid electric vehicles and battery electric vehicles is developed, which minimizes battery capacity degradation incurred during charging by optimizing the charging current profile. Combining a generic control-oriented vehicle cabin thermal model with the battery aging model, the benefit of this strategy in terms of decreasing battery aging is significant, when compared with the existing strategies, such as the widely accepted constant current constant voltage (CC-CV) protocol. Thus this dissertation presents a complete set of optimal control solutions related to xEVs with consideration of battery aging.

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

Author : Chitra A.
Publisher : John Wiley & Sons
ISBN 13 : 1119681901
Total Pages : 288 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles by : Chitra A.

Download or read book Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles written by Chitra A. and published by John Wiley & Sons. This book was released on 2020-07-21 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Optimal Energy Management for Forward-looking Serial-parallel Hybrid Electric Vehicle Using Rule-based Control Strategy

Author : Abhijit Bhaskar Jadhav
Publisher :
ISBN 13 :
Total Pages : 39 pages
Book Rating : 4.:/5 (118 download)

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Book Synopsis Optimal Energy Management for Forward-looking Serial-parallel Hybrid Electric Vehicle Using Rule-based Control Strategy by : Abhijit Bhaskar Jadhav

Download or read book Optimal Energy Management for Forward-looking Serial-parallel Hybrid Electric Vehicle Using Rule-based Control Strategy written by Abhijit Bhaskar Jadhav and published by . This book was released on 2019 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s sophisticated era of technology, resolving environmental problems is a matter of grave concern. Developing hybrid electric vehicles is a good step towards environmental preservation, since they use less fuel compared to conventional vehicles because of the combination of electric and mechanical energy. A hybrid electric vehicle reduces dependence on fossil fuels and hence lowers emissions. Specifically, a hybrid powertrain that includes a conventional gasoline engine and a brushless DC motor offers great potential to meet stringent CO2 regulations and fuel economy requirements. This thesis focuses on the effects of initial state of charge (SOC) stored in Hybrid Electric Vehicle’s battery that affects engine operation and fuel economy. The battery management system (BMS) that manages the electrical driving machine and generator machine based on vehicle speed and SOC plays a vital role. This thesis focuses on developing an optimal energy management strategy based upon logical operators for a serialparallel HEV considering regenerative braking on flat and hilly terrain. This thesis also emphasizes optimizing engine operation without overrunning the generator machine. The results show that changes in initial SOC affect vehicle speed on hilly terrain; hence keeping SOC at an optimum level along with vehicle speed is necessary to maintain vehicle fuel economy and safety of electrical circuits.

An Optimal Energy Management Strategy for Hybrid Electric Vehicles

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (114 download)

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Book Synopsis An Optimal Energy Management Strategy for Hybrid Electric Vehicles by :

Download or read book An Optimal Energy Management Strategy for Hybrid Electric Vehicles written by and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : Hybrid Electric Vehicles (HEVs) are used to overcome the short-range and long charging time problems of purely electric vehicles. HEVs have at least two power sources. Therefore, the Energy Management (EM) strategy for dividing the driver requested power between the available power sources plays an important role in achieving good HEV performance. This work, proposes a novel real-time EM strategy for HEVs which is named ECMS-CESO. ECMS-CESO is based on the Equivalent Consumption Minimization Strategy (ECMS) and is designed to Catch Energy Saving Opportunities (CESO) while operating the vehicle. ECMS-CESO is an instantaneous optimal controller, i. e., it does not require prediction of the future demanded power by the driver. Therefore, ECMS-CESO is tractable for real-time operation. Under certain conditions ECMS achieves the maximum fuel economy. The main challenge in employing ECMS is the estimation of the optimal equivalence factor L*. Unfortunately, L* is drive-cycle dependent, i. e., it changes from driver to driver and/or route to route. The lack of knowledge about L* has been a motivation for studying a new class of EM strategies known as Adaptive ECMS (A-ECMS). A-ECMS yields a causal controller that calculates L(t) at each moment t as an estimate of L*. Existing A-ECMS algorithms estimate L*, by heuristic approaches. Here, instead of direct estimation of L*, analytic bounds on L* are determined which are independent of the drive-cycle. Knowledge about the range of L*, can be used to adaptively set L(t) as performed by the ECMS-CESO algorithm. ECMS-CESO also defines soft constraints on the battery state of charge (SOC) and a penalty for exceeding the soft constraints. ECMS-CESO is allowed to exceed a SOC soft constraint when an energy saving opportunity is available. ECMS-CESO is efficient since there is no need for prediction and the intensive calculations for finding the optimal control over the predicted horizon are not required. Simulation results for 3 different HEVs are used to confirm the expected performance of ECMS-CESO. This work also investigates the performance of the model predictive control with respect to the predicated horizon length.

Electric and Plug-in Hybrid Vehicle Networks

Author : Emanuele Crisostomi
Publisher : CRC Press
ISBN 13 : 1498745008
Total Pages : 261 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Electric and Plug-in Hybrid Vehicle Networks by : Emanuele Crisostomi

Download or read book Electric and Plug-in Hybrid Vehicle Networks written by Emanuele Crisostomi and published by CRC Press. This book was released on 2017-10-30 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the behavior of networks of electric and hybrid vehicles. The topics that are covered include: energy management issues for aggregates of plug-in vehicles; the design of sharing systems to support electro-mobility; context awareness in the operation of electric and hybrid vehicles, and the role that this plays in a Smart City context; and tools to test and design massively large-scale networks of such vehicles. The book also introduces new and interesting control problems that are becoming prevalent in the EV-PHEV's context, as well as identifying some open questions. A particular focus of the book is on the opportunities afforded by networked actuation possibilities in electric and hybrid vehicles, and the role that such actuation may play in air-quality and emissions management.

Vehicle Power Management

Author : Xi Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 0857297368
Total Pages : 353 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Vehicle Power Management by : Xi Zhang

Download or read book Vehicle Power Management written by Xi Zhang and published by Springer Science & Business Media. This book was released on 2011-08-12 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hybrid Electric Vehicles

Author : Chris Mi
Publisher : John Wiley & Sons
ISBN 13 : 111897056X
Total Pages : 597 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Hybrid Electric Vehicles by : Chris Mi

Download or read book Hybrid Electric Vehicles written by Chris Mi and published by John Wiley & Sons. This book was released on 2017-11-29 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Driving Data Pattern Recognition for Intelligent Energy Management of Plug-in Hybrid Electric Vehicles

Author : Sreejith Munthikodu
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (119 download)

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Book Synopsis Driving Data Pattern Recognition for Intelligent Energy Management of Plug-in Hybrid Electric Vehicles by : Sreejith Munthikodu

Download or read book Driving Data Pattern Recognition for Intelligent Energy Management of Plug-in Hybrid Electric Vehicles written by Sreejith Munthikodu and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This work focuses on the development and testing of new driving data pattern recognition intelligent system techniques to support driver adaptive, real-time optimal power control and energy management of hybrid electric vehicles (HEVs) and plug-in hybrid electric vehicles (PHEVs). A novel, intelligent energy management approach that combines vehicle operation data acquisition, driving data clustering and pattern recognition, cluster prototype based power control and energy optimization, and real-time driving pattern recognition and optimal energy management has been introduced. The method integrates advanced machine learning techniques and global optimization methods form the driver adaptive optimal power control and energy management. Fuzzy C-Means clustering algorithm is used to identify the representative vehicle operation patterns from collected driving data. Dynamic Programming (DA) based off-line optimization is conducted to obtain the optimal control parameters for each of the identified driving patterns. Artificial Neural Networks (ANN) are trained to associate each of the identified operation patterns with the optimal energy management plan to support real-time optimal control. Implementation and advantages of the new method are demonstrated using the 2012 California household travel survey data, and driver-specific data collected from the city of Victoria, BC Canada.

Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles

Author : Li Yeuching
Publisher : Springer Nature
ISBN 13 : 3031792068
Total Pages : 123 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles by : Li Yeuching

Download or read book Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles written by Li Yeuching and published by Springer Nature. This book was released on 2022-06-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: The urgent need for vehicle electrification and improvement in fuel efficiency has gained increasing attention worldwide. Regarding this concern, the solution of hybrid vehicle systems has proven its value from academic research and industry applications, where energy management plays a key role in taking full advantage of hybrid electric vehicles (HEVs). There are many well-established energy management approaches, ranging from rules-based strategies to optimization-based methods, that can provide diverse options to achieve higher fuel economy performance. However, the research scope for energy management is still expanding with the development of intelligent transportation systems and the improvement in onboard sensing and computing resources. Owing to the boom in machine learning, especially deep learning and deep reinforcement learning (DRL), research on learning-based energy management strategies (EMSs) is gradually gaining more momentum. They have shown great promise in not only being capable of dealing with big data, but also in generalizing previously learned rules to new scenarios without complex manually tunning. Focusing on learning-based energy management with DRL as the core, this book begins with an introduction to the background of DRL in HEV energy management. The strengths and limitations of typical DRL-based EMSs are identified according to the types of state space and action space in energy management. Accordingly, value-based, policy gradient-based, and hybrid action space-oriented energy management methods via DRL are discussed, respectively. Finally, a general online integration scheme for DRL-based EMS is described to bridge the gap between strategy learning in the simulator and strategy deployment on the vehicle controller.

An Intelligent Energy Management System for Charging of Plug-in Hybrid Electric Vehicles at a Municipal Parking Deck

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (656 download)

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Book Synopsis An Intelligent Energy Management System for Charging of Plug-in Hybrid Electric Vehicles at a Municipal Parking Deck by :

Download or read book An Intelligent Energy Management System for Charging of Plug-in Hybrid Electric Vehicles at a Municipal Parking Deck written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a need to address potential problems due to the emergence of technologies that will affect the utility industry in a time horizon of less than 20 years. One such technology is the plug-in hybrid electric vehicle (PHEV); the emergence of these vehicles in the marketplace poses a potential threat to the existing power grid. With a large number of these vehicles ÃØâ'ƠËœplugged-inÃØâ'Ơâ"Ø for charging, in the absence of control over the power drawn, the additional load can result in grid instabilities and disruptions. As a solution to alleviate such a situation and to allow for smooth integration of PHEVs into the grid, an ÃØâ'ƠÅ"intelligent energy management systemÃØâ'ƠÂ (iEMS) is proposed in this thesis. The iEMS intelligently allocates power to the vehicle battery chargers through real time monitoring and control, to ensure optimal usage of available power, charging time and grid stability. The research presented here provides the conceptualization of the system architecture and the definition of its components, their attributes and interactions. A Simulink based simulator incorporating the dynamics of the real world scenario at a municipal parking deck with random plug-in/out times and varying initial states of charge is presented. A mathematical framework is provided for developing the iEMS algorithm for the optimal power allocation strategy under utility power constraints; taking into consideration the vehicle battery parameters and user preferences. The formulation and solution of the optimization is also proposed for a chosen objective function followed by the presentation of simulation results. The thesis concludes with the description of an experimental setup consisting of a Labview based GUI along with ZigBee communication nodes which is a first step towards validating the system performance in a real-world deployment.