Simulation-Based Optimization of a Series Hydraulic Hybrid Vehicle PDF Download
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Author: Katharina Baer
Publisher:
ISBN: 9789176853443
Category : Electronic books
Languages : en
Pages : 72
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Book Description
Author: Katharina Baer
Publisher:
ISBN: 9789176853443
Category : Electronic books
Languages : en
Pages : 72
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Book Description
Author: Adithya Jayakumar
Publisher:
ISBN:
Category : Calibration
Languages : en
Pages :
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Book Description
The particular simulator and application addressed here is the optimization of fuel economy in hybrid electric vehicles (HEVs). Accurately estimating the energy consumption of hybrid electric vehicles is complicated by the fact that these vehicles have multiple power sources and complex control strategies. As a starting point of this research, to ensure that available vehicle simulators can be validated, a thorough literature review of energy consumption in HEVs was done both on a component and an overall level. This then allowed model validation to be performed. New methods of model validation for the case of vehicle simulators were also developed and are discussed in this dissertation. Also in this document, the optimization framework developed to robustly minimize fuel economy in a hybrid electric vehicle simulator is discussed. Since the vehicle simulator is a hybrid system using LUTs, the methodology developed here will be applicable in many simulation optimization environments.
Author: Ivan Zelinka
Publisher: Springer
ISBN: 3030149072
Category : Technology & Engineering
Languages : en
Pages : 998
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Book Description
These proceedings address a broad range of topic areas, including telecommunication, power systems, digital signal processing, robotics, control systems, renewable energy, power electronics, soft computing and more. Today’s world is based on vitally important technologies that combine e.g. electronics, cybernetics, computer science, telecommunication, and physics. However, since the advent of these technologies, we have been confronted with numerous technological challenges such as finding optimal solutions to various problems regarding controlling technologies, signal processing, power source design, robotics, etc. Readers will find papers on these and other topics, which share fresh ideas and provide state-of-the-art overviews. They will also benefit practitioners, who can easily apply the issues discussed here to solve real-life problems in their own work. Accordingly, the proceedings offer a valuable resource for all scientists and engineers pursuing research and applications in the above-mentioned fields.
Author: Mingwei Shan
Publisher:
ISBN:
Category : Hybrid electric vehicles
Languages : en
Pages : 238
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Book Description
Series hydraulic hybrid technology has the potential to significantly improve fuel economy and reduce emission. The series hydraulic hybrid is very different from electric and parallel hydraulic configuration and requires a unique power management control strategy to realize its optimal potential. In this dissertation, three approaches to achieve optimality are proposed and analyzed. These are rule-based, intelligent, and mixed power management control strategy. For evaluating the performance of control strategies, a forward-facing closed-loop simulation model based on physical features is first established in the MATLAB/SIMULINK environment. We then introduce a simple, valid and easily implementable rule-based power management control strategy. To derive the control signals, a PID-based multi-stage controller is presented. A thorough analysis on a class VI medium truck is elucidated. The simulation results demonstrate that a series hydraulic hybrid medium truck with the proposed rule-based power management control strategy results in fuel economy increases of 117% and 44% over the conventional baseline respectively over Federal Urban Driving Schedule (FUDS) and Federal Highway Driving Schedule (FHDS). Then, an intelligent power management control strategy incorporating artificial neural networks (ANNs) and dynamic programming (DP) algorithm applied to series hydraulic hybrid propulsion systems is presented. ANNs are used to forecast vehicle speed and DP is utilized to find the optimal control actions for gear shifting and dual power source splitting. A thorough analysis of effect on fuel economy with different prediction window size on the class VI medium truck over FUDS and FHDS is presented. Compared with conventional baseline, the simulation results demonstrate that series hydraulic hybrid medium truck with 20 seconds short-term prediction window enables fuel economy increase of 135% and 48% respectively over FUDS and FHDS. Although the intelligent power management control strategy has obvious advantages over rule-based control strategy in improving fuel economy, this approach is somewhat limited in a realistic application due to prediction error. Finally, we proposed a mixed power management control strategy incorporating intelligent and rule-based approach to obtain a practicable near-optimal control strategy. Validations of these three power management control strategies are performed by Vehicle Propulsion Systems Evaluation Tool (VPSET) developed at Southwest Research Institute.
Author: Lino Guzzella
Publisher: Springer Science & Business Media
ISBN: 3642359132
Category : Technology & Engineering
Languages : en
Pages : 420
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Book Description
This text provides an introduction to the mathematical modeling and subsequent optimization of vehicle propulsion systems and their supervisory control algorithms. Automobiles are responsible for a substantial part of the world's consumption of primary energy, mostly fossil liquid hydrocarbons and the reduction of the fuel consumption of these vehicles has become a top priority. Increasing concerns over fossil fuel consumption and the associated environmental impacts have motivated many groups in industry and academia to propose new propulsion systems and to explore new optimization methodologies. This third edition has been prepared to include many of these developments. In the third edition, exercises are included at the end of each chapter and the solutions are available on the web.
Author: Kshitij Shah
Publisher:
ISBN:
Category : Hybrid electric vehicles
Languages : en
Pages : 95
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Book Description
The fuel economy prediction in an automobile is a significant and complex issue. There are numerous variables involved in a vehicle’s daily usage that influence its fuel economy. This problem is even more complex for a hybrid electric vehicle (HEV), due to the presence of the supervisory controller overseeing the energy management strategy. The control strategies implemented in production vehicles involve the use of hundreds of calibration parameters in the form of Lookup Tables (LUTs). The work described in this document aims to lay the groundwork in resolving this complex issue of fuel economy prediction in an HEV using a model based optimization approach. There are two distinct aspects of the approach utilized here: 1) Calibration and Validation of the Vehicle Models, 2) Optimization of the Supervisory Controller. An Open Loop Vehicle Model is utilized for the calibration and validation aspect. Experimental data corresponding to a driving distance of ~36,000 km collected over the span of 2 years is made available. The vehicle models used for the research represent the same vehicle on which this data was obtained. The calibration, validation and optimization tasks need to consider different weather patterns across the year to aid in accurately estimating the fuel economy. The primary reason for the use of an open loop model for the calibration and validation aspect is to eliminate the effects of the vehicle controller so that an accurate representation of the 'Vehicle Plant' is available. This thesis details the methodology undertaken for validating the open loop model. A novel technique of converting a look-up table into a surface fit to calibrate the same is implemented and the results are discussed. Once validated, the model truly represents the actual vehicle behavior and the results obtained from the optimization performed on it are reliable. The optimization techniques used through the work described here and in further research, are termed as "Derivative-free Simulation based Optimization". There is an absence of a definitive analytical function to describe the control variables as a function of the objective, and there is a vehicle simulator/model in this loop, that ultimately warrants the use of such methods. Finally, implementation of this validated plant in the closed loop model is illustrated using commonly available derivative-free optimization methods.
Author: Bogdan Ovidiu Varga
Publisher: Springer
ISBN: 3319186396
Category : Technology & Engineering
Languages : en
Pages : 536
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Book Description
This book is designed as an interdisciplinary platform for specialists working in electric and plug-in hybrid electric vehicles powertrain design and development, and for scientists who want to get access to information related to electric and hybrid vehicle energy management, efficiency and control. The book presents the methodology of simulation that allows the specialist to evaluate electric and hybrid vehicle powertrain energy flow, efficiency, range and consumption. The mathematics behind each electric and hybrid vehicle component is explained and for each specific vehicle the powertrain is analyzed and output results presented through the use of specific automotive industrial software (AVL Cruise , IPG CarMaker, AVL Concerto). This methodology of electric and hybrid powertrain design serves to broaden understanding of how the energy flow, efficiency, range and consumption of these vehicles can be adjusted, updated and predicted via development processes.
Author: Chris Mi
Publisher: John Wiley & Sons
ISBN: 1118970543
Category : Technology & Engineering
Languages : en
Pages : 771
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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: Saman K. Halgamuge
Publisher: Springer Nature
ISBN: 9819718767
Category :
Languages : en
Pages : 1282
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Book Description
Author: Teen-Hang Meen
Publisher: MDPI
ISBN: 3039361600
Category : Technology & Engineering
Languages : en
Pages : 224
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Book Description
This book, entitled “Selected papers from IEEE ICKII 2019”, selected 13 excellent papers from the 260 papers presented in the IEEE International Conference on Knowledge Innovation and Invention (IEEE ICKII) 2019 on energies. The 2nd IEEE ICKII 2019 was held in Seoul, South Korea, 12–15 July, 2019, and provided a unified communication platform for research on information technology, innovation design, communication science and engineering, industrial design, creative design, applied mathematics, computer science, electrical and electronic engineering, mechanical and automation engineering, green technology and architecture engineering, material science, and other related fields. The ICKII conference enables interdisciplinary collaboration of science and engineering technologists in the academic and industrial fields, as well as international networking. This book is a collection of 13 research papers. The fields included are as follows: energy fundamentals, energy sources and energy carriers, energy exploration, intermediate and final energy use, energy conversion systems, and energy research and development. The main goals of this book are to encourage scientists to publish their experimental and theoretical results in as much detail as possible, and to discover new scientific knowledge relevant to the topics of energies.
