Development and Validation of a Control Strategy for a Parallel Hybrid (diesel-electric) Powertrain PDF Download
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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.
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.
Author:
Publisher:
ISBN:
Category :
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.
Author: Matthew Tyler Young
Publisher:
ISBN:
Category : Energy storage
Languages : en
Pages :
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Book Description
As requirements related to vehicle fuel economy and emissions continue to increase, automakers are developing complex hybrid powertrain control systems to meet these requirements. With the increase in powertrain complexity and performance requirements of a hybrid vehicle, embedded control systems have become an integral part of these vehicles. A hybrid's ability to recapture energy normally lost as heat during braking situations can account for an increase in efficiency of up to 28 percent. This study explores the use of a grade adaptive regeneration strategy for improving a hybrid vehicle's energy recapture capability. The concept of the grade adaptive regeneration strategy was developed using a computer aided simulation model and then implemented on the Mississippi State University Challenge X hybrid vehicle. The real-time performance of the system was evaluated through chassis dynamometer and on-road tests. Substantial improvements over the native hybrid control strategy, including fuel-economy and energy recapture, have been achieved.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
As requirements related to vehicle fuel economy and emissions continue to increase, automakers are developing complex hybrid powertrain control systems to meet these requirements. With the increase in powertrain complexity and performance requirements of a hybrid vehicle, embedded control systems have become an integral part of these vehicles. A hybrids ability to recapture energy normally lost as heat during braking situations can account for an increase in efficiency of up to 28%. This study explores the use of a grade adaptive regeneration strategy for improving a hybrid vehicles energy recapture capability. The concept of the grade adaptive regeneration strategy was developed using a computer aided simulation model and then implemented on the Mississippi State University Challenge X hybrid vehicle. The real-time performance of the system was evaluated through chassis dynamometer and on-road tests. Substantial improvements over the native hybrid control strategy, including fuel-economy and energy recapture, have been achieved.
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.
Author: Nathan Michael Picot
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 337
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Book Description
"The results of implementing a series-parallel control strategy for a heavily-hybridized parallel hybrid-electric vehicle are investigated. Simulation was used to estimate the efforts of changing control strategy parameters on fuel economy, drive quality and tail-pipe emissions. A Simulink model of a heavily modified 2005 Chevrolet Equinox test vehicle equipped with a diesel internal combustion engine utilizing exhaust aftertreatments, two electric motors, and a series string of ultracapacitors was used for all simulations. Several control strategies were simulated using various drive cycles that represent a range of driving conditions and driver habits. No a priori drive cycle information was assumed to be available to the controller. The series-parallel control strategy was demonstrated through simulation to improve both fuel economy and drive quality when compared to the parallel control strategy. Further in-vehicle testing is necessary to determine the effects on emissions, but it was shown that choosing the ICE operating point to improve emissions results in near-optimal fuel economy when using either the parallel or the series-parallel control strategy."--Abstract.
Author: Bram de Jager
Publisher: Springer Science & Business Media
ISBN: 1447150767
Category : Technology & Engineering
Languages : en
Pages : 159
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Book Description
Optimal Control of Hybrid Vehicles provides a description of power train control for hybrid vehicles. The background, environmental motivation and control challenges associated with hybrid vehicles are introduced. The text includes mathematical models for all relevant components in the hybrid power train. The power split problem in hybrid power trains is formally described and several numerical solutions detailed, including dynamic programming and a novel solution for state-constrained optimal control problems based on the maximum principle. Real-time-implementable strategies that can approximate the optimal solution closely are dealt with in depth. Several approaches are discussed and compared, including a state-of-the-art strategy which is adaptive for vehicle conditions like velocity and mass. Three case studies are included in the book: • a control strategy for a micro-hybrid power train; • experimental results obtained with a real-time strategy implemented in a hybrid electric truck; and • an analysis of the optimal component sizes for a hybrid power train. Optimal Control of Hybrid Vehicles will appeal to academic researchers and graduate students interested in hybrid vehicle control or in the applications of optimal control. Practitioners working in the design of control systems for the automotive industry will also find the ideas propounded in this book of interest.
Author: Lin Lai
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Commercially available Hybrid Electric Vehicles (HEVs) have been around for more than ten years. However, their market share remains small. Focusing only on the improvement of fuel economy, the design tends to reduce the size of the internal combustion engine in the HEV, and uses the electrical drive to compensate for the power gap between the load demand and the engine capacity. Unfortunately, the low power density and the high cost of the combined electric motor drive and battery packs dictate that the HEV has either worse performance or much higher price than the conventional vehicle. In this research, a new design philosophy for parallel HEV is proposed, which uses a full size engine to guarantee the vehicle performance at least as good as the conventional vehicle, and hybridizes with an electrical drive in parallel to improve the fuel economy and performance beyond the conventional cars. By analyzing the HEV fuel economy versus the increasing of the electrical drive power on typical driving conditions, the optimal hybridization electric power capacity is determined. Thus, the full size engine HEV shows significant improvement in fuel economy and performance, with relatively short cost recovery period. A new control strategy, which optimizes the fuel economy of parallel configured charge sustained hybrid electric vehicles, is proposed in the second part of this dissertation. This new approach is a constrained engine on-off strategy, which has been developed from the two extreme control strategies of maximum SOC and engine on-off, by taking their advantages and overcoming their disadvantages. A system optimization program using dynamic programming algorithm has been developed to calibrate the control parameters used in the developed control strategy, so that the control performance can be as close to the optimal solution as possible. In order to determine the sensitivity of the new control strategy to different driving conditions, a passenger car is simulated on different driving cycles. The performances of the vehicle with the new control strategy are compared with the optimal solution obtained on each driving condition with the dynamic programming optimization. The simulation result shows that the new control strategy always keeps its performance close to the optimal one, as the driving condition changes. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/149289
Author: Yusuf Gurkaynak
Publisher:
ISBN:
Category :
Languages : en
Pages : 268
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Book Description
Author: Yuan Zou
Publisher: Springer
ISBN: 3662536730
Category : Technology & Engineering
Languages : en
Pages : 331
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Book Description
This book focuses on the systematic design of architectures, parameters and control of typical hybrid propulsion systems for wheeled and tracked vehicles based on a combination of theoretical research and engineering practice. Adopting a mechatronic system dynamics perspective, principles and methods from the fields of optimal control and system optimization are applied in order to analyze the hybrid propulsion configuration and controller design. Case investigations for typical hybrid propulsion systems of wheeled and tracked ground vehicles are also provided.
