High-level Modeling, Supervisory Control Strategy Development, and Validation for a Proposed Power-split Hybrid-electric Vehicle Design

High-level Modeling, Supervisory Control Strategy Development, and Validation for a Proposed Power-split Hybrid-electric Vehicle Design PDF Author: Joseph M. Morbitzer
Publisher:
ISBN:
Category : Hybrid electric vehicles
Languages : en
Pages : 0

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Book Description
Over the last decade, hybrid-electric vehicles have progressed from a futuristic icon to a firm production reality for a growing number of automobile manufacturers. While the motivation for this trend may vary, hybrid-electric vehicles today symbolize a recognition of the necessity to evolve advanced automotive technologies in order to sustain a culture of freedom of mobility. The Challenge X program communicates this message towards academia and future automotive engineers with strong support from both government and industry. The work of this thesis was aimed toward The Ohio State University's objectives as a participant in the Challenge X competition. As an initial task, the Ohio State team defined a set of vehicle technical specifications to steer and motivate the vehicle design and control strategy development. After an extensive decision-making process, a specific architecture emerged with the potential to meet the vehicle technical specifications. The chosen configuration is a charge-sustaining, power-split, hybrid-electric vehicle design. A downsized Diesel engine and integrated starter/alternator drive the front wheels through an automatic transaxle. A larger, tractive electric machine and single-speed gearbox exist on the rear drivetrain. Both electric machines and their respective inverters connect electrically to a single high-voltage battery pack. The validation procedure for both the vehicle architecture and a control strategy involves use of a computer vehicle simulator. A quasi-static vehicle model acts as a basis for a simulator to validate the design and control strategy with respect to energy management. A dynamic vehicle model establishes a foundation for eventual creation of a second simulator for drivability validation. Both simulators operate in a forward-moving fashion and contain three primary sections: (i) the driver, (ii) the hybrid-electric powertrain, and (iii) the vehicle. Both models are also highly nonlinear, but the main differentiating property is the relatively large system order of the dynamic model as compared to the quasi-static model. The high-level supervisory control strategy strives to accomplish certain objectives. The initial task involves appropriately selecting the vehicle mode from those predefined as being advantageous to the particular architecture. The control strategy then calculates the driver power request and commands the powertrain actuators so as to meet that request. In certain and applicable vehicle modes, the torque split also aims to minimize fuel consumption. High-voltage battery pack state-of-charge management is both indirectly and inherently incorporated into the fuel consumption minimization approach. As a future task, drivability assurance may involve a final adjustment of control strategy commands so as to respect certain levels of several identified drivability metrics during the vehicle response. Rapid prototyping with a rolling chassis apparatus provided a method of investigation into the pragmaticality of solely utilizing the tractive electric machine and high-voltage battery pack for vehicle propulsion. Initial experimentation validates functionality of the electric machine and inverter and also indicates potential for the power electronics system to act alone in acceptably accelerating the vehicle inertia from a rest. More revealing analysis of the vehicle architecture and control strategy occurred via software-in-the-loop techniques using a simulator based upon the quasi-static vehicle model. Simulation results verify expected fuel economy gains from conversion to a downsized Diesel engine, engine disablement at a vehicle rest, and regenerative braking. However, the simulator also demonstrates a reduced fuel economy from extended operation of the vehicle in a pure electric mode. Moreover, the simulator indicates a concern with the ability of the tractive electric machine and proposed high-voltage battery pack to sufficiently and solely power the vehicle in a pure electric mode. Further findings of the simulated vehicle in full hybrid-electric vehicle operation clearly reveal the control strategy's preference in exclusively relying upon the Diesel engine for most normal operation. Reasons for this behavior primarily result from the relatively high efficiency of the Diesel engine and ensuing lack of opportunity to improve overall system efficiency through engine load shifting. Still, the downsized engine necessitates some presence of power electronics for supplementation during large power requests. Therefore, for this particular vehicle architecture, the control strategy may be better suited to simply maintain sufficient charge of the high-voltage battery pack for supplemental power delivery as opposed to aggressive and frequent use of the electric machines. Reflection of these simulation results along with some certain intangible issues motivates several suggestions concerning a few particular potential vehicle architecture modifications for consideration and contemplation by the Ohio State Challenge X team.

High-level Modeling, Supervisory Control Strategy Development, and Validation for a Proposed Power-split Hybrid-electric Vehicle Design

High-level Modeling, Supervisory Control Strategy Development, and Validation for a Proposed Power-split Hybrid-electric Vehicle Design PDF Author: Joseph M. Morbitzer
Publisher:
ISBN:
Category : Hybrid electric vehicles
Languages : en
Pages : 0

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Book Description
Over the last decade, hybrid-electric vehicles have progressed from a futuristic icon to a firm production reality for a growing number of automobile manufacturers. While the motivation for this trend may vary, hybrid-electric vehicles today symbolize a recognition of the necessity to evolve advanced automotive technologies in order to sustain a culture of freedom of mobility. The Challenge X program communicates this message towards academia and future automotive engineers with strong support from both government and industry. The work of this thesis was aimed toward The Ohio State University's objectives as a participant in the Challenge X competition. As an initial task, the Ohio State team defined a set of vehicle technical specifications to steer and motivate the vehicle design and control strategy development. After an extensive decision-making process, a specific architecture emerged with the potential to meet the vehicle technical specifications. The chosen configuration is a charge-sustaining, power-split, hybrid-electric vehicle design. A downsized Diesel engine and integrated starter/alternator drive the front wheels through an automatic transaxle. A larger, tractive electric machine and single-speed gearbox exist on the rear drivetrain. Both electric machines and their respective inverters connect electrically to a single high-voltage battery pack. The validation procedure for both the vehicle architecture and a control strategy involves use of a computer vehicle simulator. A quasi-static vehicle model acts as a basis for a simulator to validate the design and control strategy with respect to energy management. A dynamic vehicle model establishes a foundation for eventual creation of a second simulator for drivability validation. Both simulators operate in a forward-moving fashion and contain three primary sections: (i) the driver, (ii) the hybrid-electric powertrain, and (iii) the vehicle. Both models are also highly nonlinear, but the main differentiating property is the relatively large system order of the dynamic model as compared to the quasi-static model. The high-level supervisory control strategy strives to accomplish certain objectives. The initial task involves appropriately selecting the vehicle mode from those predefined as being advantageous to the particular architecture. The control strategy then calculates the driver power request and commands the powertrain actuators so as to meet that request. In certain and applicable vehicle modes, the torque split also aims to minimize fuel consumption. High-voltage battery pack state-of-charge management is both indirectly and inherently incorporated into the fuel consumption minimization approach. As a future task, drivability assurance may involve a final adjustment of control strategy commands so as to respect certain levels of several identified drivability metrics during the vehicle response. Rapid prototyping with a rolling chassis apparatus provided a method of investigation into the pragmaticality of solely utilizing the tractive electric machine and high-voltage battery pack for vehicle propulsion. Initial experimentation validates functionality of the electric machine and inverter and also indicates potential for the power electronics system to act alone in acceptably accelerating the vehicle inertia from a rest. More revealing analysis of the vehicle architecture and control strategy occurred via software-in-the-loop techniques using a simulator based upon the quasi-static vehicle model. Simulation results verify expected fuel economy gains from conversion to a downsized Diesel engine, engine disablement at a vehicle rest, and regenerative braking. However, the simulator also demonstrates a reduced fuel economy from extended operation of the vehicle in a pure electric mode. Moreover, the simulator indicates a concern with the ability of the tractive electric machine and proposed high-voltage battery pack to sufficiently and solely power the vehicle in a pure electric mode. Further findings of the simulated vehicle in full hybrid-electric vehicle operation clearly reveal the control strategy's preference in exclusively relying upon the Diesel engine for most normal operation. Reasons for this behavior primarily result from the relatively high efficiency of the Diesel engine and ensuing lack of opportunity to improve overall system efficiency through engine load shifting. Still, the downsized engine necessitates some presence of power electronics for supplementation during large power requests. Therefore, for this particular vehicle architecture, the control strategy may be better suited to simply maintain sufficient charge of the high-voltage battery pack for supplemental power delivery as opposed to aggressive and frequent use of the electric machines. Reflection of these simulation results along with some certain intangible issues motivates several suggestions concerning a few particular potential vehicle architecture modifications for consideration and contemplation by the Ohio State Challenge X team.

Hybrid Electric Vehicle System Modeling and Control

Hybrid Electric Vehicle System Modeling and Control PDF Author: Wei Liu
Publisher: John Wiley & Sons
ISBN: 1119278945
Category : Technology & Engineering
Languages : en
Pages : 702

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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.

Introduction to Hybrid Vehicle System Modeling and Control

Introduction to Hybrid Vehicle System Modeling and Control PDF 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.

Simulation and Control Strategy Development of Power-split Hybrid-electric Vehicles

Simulation and Control Strategy Development of Power-split Hybrid-electric Vehicles PDF Author: John Paul Arata (III.)
Publisher:
ISBN:
Category : Computer simulation
Languages : en
Pages :

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Book Description
Power-split hybrid-electric vehicles (HEVs) provide two power paths between the internal combustion (IC) engine and the driven wheels through gearing and electric machines (EMs) composing an electrically variable transmission (EVT). EVTs allow IC engine control such that rotational speed is independent of vehicle speed at all times. By breaking the rigid mechanical connection between the IC engine and the driven wheels, EVTs allow the IC engine to operate in the most efficient region of its characteristic brake specific fuel consumption (BSFC) map. If the most efficient IC engine operating point produces more power than is requested by the driver, the excess IC engine power can be stored in the energy storage system (ESS) and used later. Conversely, if the most efficient IC engine operating point does not meet the power request of the driver, the ESS delivers the difference to the wheels through the EMs. Therefore with an intelligent supervisory control strategy, power-split architectures can advantageously combine traditional series and parallel power paths.

Intelligent Control of Connected Plug-in Hybrid Electric Vehicles

Intelligent Control of Connected Plug-in Hybrid Electric Vehicles PDF Author: Amir Taghavipour
Publisher: Springer
ISBN: 3030003140
Category : Technology & Engineering
Languages : en
Pages : 202

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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.

Design and Development of a Virtual Driver Model and a Hybrid Supervisory Controller

Design and Development of a Virtual Driver Model and a Hybrid Supervisory Controller PDF Author: Kristina Marie Kuwabara
Publisher:
ISBN:
Category : Automated vehicles
Languages : en
Pages : 111

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Book Description
Sponsored by the Department of Energy, General Motors, and Mathworks, the EcoCAR Mobility Challenge challenges 12 universities team across North America to redesign a 2019 Chevy Blazer into a SAE Level 2 Automated Hybrid Electric Vehicle. This work focusses on the development and validation of a vehicle’s hybrid supervisory controller in a virtual test environment. The development of a virtual environment focuses on the design and implementation of modeling a driver that ensures valid driver request by minimizing pedal oscillations and meeting EPA requirements for competition specific drive cycles. The design of the hybrid supervisory controller explains decisions that were made related to the hardware selection, serial architecture, interface between connected and automated vehicle technology and the propulsion controls, and the software development. The hybrid supervisory controller was designed for initial implementation that focuses on testing component interfaces, power moding, and a simplified torque split strategy. The hybrid supervisory controller was broken into various sub algorithms that were designed and validated on a unit level. Overall, both the driver and the controller have been validated in a virtual environment and will continue to be improved during the vehicle implementation phase.

Analysis and Design of the Power-Split Device for Hybrid Systems

Analysis and Design of the Power-Split Device for Hybrid Systems PDF Author: Xiaohua Zeng
Publisher: Springer
ISBN: 9811042721
Category : Technology & Engineering
Languages : en
Pages : 297

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Book Description
This book presents a comprehensive overview of power-split device (PSD) design. It discusses vehicle energy consumption characteristics, hybrid vehicle power request solutions, typical configurations, operating principle and simulation technology of PSD hybrid system, a multi-factor integrated parametric design method and a dynamic coordinated control method for PSD hybrid system. It also describes the finite element analysis, thermal analysis and optimization of the PSD based on a surrogate model, explains the theory behind the design and the simulation, and provides concrete examples. It is a valuable resource for researchers and the engineers to gain a better understanding of the PSD design process.

Supervisory Control Strategy Development for a Hybrid Electric Vehicle

Supervisory Control Strategy Development for a Hybrid Electric Vehicle PDF Author: Bo Gu
Publisher:
ISBN:
Category : Hybrid electric vehicles
Languages : en
Pages : 286

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Book Description
Abstract: As crude oil price rises, the advantages of Hybrid Electric Vehicle (HEV) are more and more attractive to the automotive industry and customers. The work of this thesis is aimed toward the Ohio State University's objective as a participant in the Challenge X competition. During the first year of this three-year project, the vehicle architecture is carefully chosen. Vehicle modeling, simulation and control algorithm designs are partially completed. This thesis covers work completed in the second year -- further improving the supervisory control strategy and its application in a microcontroller system. In the first two chapters, HEV technologies and designs are reviewed. Advantages of HEV are outlined and how such advantages can be achieved is explained. The Challenge X architecture is then introduced. Current control algorithms for HEV are reviewed. In Chapter 3, a quasi-static model of HEV is introduced. In the quasi-static model, the dynamics of the powertrain are not considered. Instead, most of components of the powertrain are simplified as maps. Such approach provides acceptable approximation of vehicle for designing the supervisory control algorithms for energy management, and for further optimization. Novel energy management algorithms are introduced in Chapters 4 and 5. A 3-way Equivalent (fuel) Consumption Minimization Strategy (ECMS), a P1 State-of-Charge management algorithm and an adaptive version of ECMS based on driving pattern recognition are introduced. ECMS provides real-time near-optimal energy management decisions by minimizing the "equivalent" fuel consumption, which is a combination of the actual fuel consumption and electrical energy use. An equivalence factor converts electrical power consumption into fuel consumption, based on the average efficiency of the battery in discharge/recharge and the efficiencies of electric motors and other devices. A driving pattern recognition method is used to obtain better estimation of the equivalence factor. Eighteen standard driving cycles provided by the Environmental Protection Agency are analyzed. Twenty one different cycle-characterizing quantities, such as average, peak and rms velocity, are extracted. Using the ideas of Principal Component Analysis and of statistical clustering, 18 driving cycles are classified into four Representative Driving Patterns (RDP), such as urban and highway. While the vehicle is running, a time window of past driving conditions is analyzed periodically and recognized as one of the four RDPs. Periodically updating the control parameter according to the driving conditions yields more precise estimation of the equivalent fuel consumption cost, thus providing better fuel economy. Besides minimizing the instantaneous equivalent fuel consumption, the battery State of Charge (SOC) is also maintained by using a P1 controller to keep the SOC around a nominal value. Such control algorithm does not require the knowledge of future driving cycles and has a low additional computational burden. Results obtained in this research shows that the driving conditions can be successfully recognized and good performance can be achieved in various driving conditions while sustaining battery Soc within desired limits. chapter 6 focuses on how to convert the control algorithm applied in the simulator into real-time implementation in the microcontroller systems. A set of 6 dimensional maps is generated and stored for real-time application, according to the computation limitation of the microcontroller. Simulation results show that real-time solution based on look-up tables have similar results as those provided by instantaneous calculation. Therefore the microcontroller system version of supervisory control strategy is acceptable for implementation. The contributions of this thesis extend previous research conducted at the OSU center for Automotive Research, and include: the successful implementation of 3-way ECMS control strategy in the challenge x vehicle; the design of the new adaptive-EcMS; and the implementation of supervisory control strategy in the microcontroller systems. A PDF copy of this thesis with color figures is available from the center for Automotive Research, the Ohio State University. It is also available from gu.4Oosu.edu upon request.

Development and Validation of a Control Strategy for a Parallel Hybrid (diesel-electric) Powertrain

Development and Validation of a Control Strategy for a Parallel Hybrid (diesel-electric) Powertrain PDF Author: Jimmy C. Mathews
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages :

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Book Description
The rise in overall powertrain complexity and the stringent performance requirements of a hybrid electric vehicle (HEV) have elevated the role of its powertrain control strategy to considerable importance. Iterative modeling and simulation form an integral part of the control strategy design process and industry engineers rely on proprietary "legacy" models to rapidly develop and implement control strategies. However, others must initiate new algorithms and models in order to develop production-capable control systems. This thesis demonstrates the development and validation of a charge-sustaining control algorithm for a through-the-road (TTR) parallel hybrid (diesel-electric) powertrain. Some unique approaches used in powertrain-level control of other commercial and prototype vehicles have been adopted to incrementally develop this control strategy. The real-time performance of the control strategy has been analyzed through on-road and chassis dynamometer tests over several standard drive cycles. Substantial quantitative improvements in the overall HEV performance over the stock configuration, including better acceleration and fuel-economy have been achieved.

Hybrid Electric Vehicle Design and Control: Intelligent Omnidirectional Hybrids

Hybrid Electric Vehicle Design and Control: Intelligent Omnidirectional Hybrids PDF Author: Yangsheng Xu
Publisher: McGraw Hill Professional
ISBN: 0071826823
Category : Technology & Engineering
Languages : en
Pages : 302

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Book Description
Build state-of-the-art intelligent omnidirectional HEVs Engineer high-performance, low-emission automobiles by overcoming traditional obstacles and efficiently harnessing energy from multiple sources. Hybrid Electric Vehicle Design and Control features complete coverage of all electrical, mechanical, and software components. Find out how to develop fast-charging battery systems, efficiently manage power, implement independent steering and force control, and enhance driving stability and controllability. This comprehensive guide offers detailed modeling, testing, and tuning techniques and provides an overview of emerging developments in hybrid technologies. Coverage includes: 4WIS and 4WID hardware and software Hybrid vehicle design structures Zero-radius turning and lateral parking Steer-by-wire and extended steering Behavior-based and zero-radius steering Traction force distribution and stability Battery, energy, and power management systems Cell equalization and fast-charging control MPC, load forecasting, and neural network classifi cation Best performance techniques