Modeling And Optimal Control Of Heavy Duty Powertrains

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Modeling And Optimal Control Of Heavy Duty Powertrains

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Author : Vaheed Nezhadali
language : en
Publisher: Linköping University Electronic Press
Release Date : 2016-05-30

Modeling And Optimal Control Of Heavy Duty Powertrains written by Vaheed Nezhadali and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-30 with categories.

Heavy duty powertrains are complex systems with components from various domains, different response times during transient operations and different efficient operating ranges. To ensure efficient transient operation of a powertrain, e.g. with low fuel consumption or short transient duration, it is important to come up with proper control strategies. In this dissertation, optimal control theory is used to calculate and analyze efficient heavy duty powertrain controls during transient operations in different applications. This is enabled by first developing control ready models, usable for multi-phase optimal control problem formulations, and then using numerical optimal control methods to calculate the optimal transients. Optimal control analysis of a wheel loader operating in a repetitive loading cycle is the first studied application. Increasing fuel efficiency or reducing the operation time in such repetitive loading cycles sums up to large savings over longer periods of time. Load lifting and vehicle traction consume almost all of the power produced by a diesel engine during wheel loader operation. Physical models are developed for these subsystems where the dynamics are described by differential equations. The model parameters are tuned and fuel consumption estimation is validated against measured values from real wheel loader operation. The sensitivity of wheel loader trajectory with respect to constrains such as the angle at which the wheel loader reaches the unloading position is also analyzed. A time and fuel optimal trajectory map is calculated for various unloading positions. Moreover, the importance of simultaneous optimization of wheel loader trajectory and the component transients is shown via a side to side comparison between measured fuel consumption and trajectories versus optimal control results. In another application, optimal control is used to calculate efficient gear shift controls for a heavy duty Automatic Transmission system. A modeling and optimal control framework is developed for a nine speed automatic transmission. Solving optimal control problems using the developed model, time and jerk efficient transient for simultaneous disengagement of off-going and engagement of in-coming shift actuators are obtained and the results are analyzed. Optimal controls of a diesel-electric powertrain during a gear shift in an Automated Manual Transmission system are calculated and analyzed in another application of optimal control. The powertrain model is extended by including driveline backlash angle as an extra state in the system. This is enabled by implementation of smoothing techniques in order to describe backlash dynamics as a single continuous function during all gear shift phases. Optimal controls are also calculated for a diesel-electric powertrain corresponding to a hybrid bus during a tip-in maneuver. It is shown that for optimal control analysis of complex powertrain systems, minimizing only one property such as time pushes the system transients into extreme operating conditions far from what is achievable in real applications. Multi-objective optimal control problem formulations are suggested in order to obtain a compromise between various objectives when analyzing such complex powertrain systems.

Design Modulation And Control Of Battery Integrated Modular Multilevel Converters For Automotive Applications

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Author : Arvind Balachandran
language : en
Publisher: Linköping University Electronic Press
Release Date : 2025-03-20

Design Modulation And Control Of Battery Integrated Modular Multilevel Converters For Automotive Applications written by Arvind Balachandran and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with categories.

A critical component of a battery electric vehicle (BEV) is the battery pack, which has many series- and parallel-connected electrochemical cells. The total power, energy delivered, and lifetime of the battery pack are limited by the weakest cell in the pack. Battery-integrated modular multilevel converters (BI-MMC) can overcome this limitation by increasing cell-level control. BI-MMCs have several series-connected DC-to-AC converters with a battery module having a few series- and parallel-connected cells called submodules (SM). The research in this thesis focuses on the design, modulation, and control of BI-MMCs. The efficiency and adaptability of five basic BI-MMC topologies with half-bridge and full-bridge SMs across three main system configurations are presented. Full-bridge topologies offer high efficiency, some even higher than the state-of- the-art SiC two-level inverter. However, adapting them to BEVs requires significant architectural modifications to the BEV’s electrical system. The half-bridge topologies require fewer architectural modifications for adaption into the BEVs. However, they have lower efficiency and require a larger number of SMs, which increases the cost. The efficiency is increased with six-phase system configurations but at the cost of more SMs than three-phase system configurations. Another aspect of adaptability is the DC charging capabilities of BI-MMCs. The maximum DC charging power of the BI-MMCs with the same SM semiconductor losses as during traction is derived, and results show that most BI-MMCs have a maximum DC charging power of about 1MW. Key design parameters that affect the efficiency and cost of BI-MMCs are identified. They are the number of series-connected cells in an SM, SM DC-link capacitor energy, and MOSFET switching frequency. BI-MMCs with five to seven series-connected cells per SM have the highest efficiency, at an average power of 100 kW and considering phase-shifted carrier-based modulation. Selecting the MOSFET switching frequency close to the resonant frequency of the SM DC-link capacitors and the SM battery modules decreases the total efficiency. Increasing or decreasing the MOSFET switching frequency increases the efficiency but affects the loss distribution between the SM DC-link capacitors and the SM battery modules. BI-MMCs with nearest level modulation (NLM) have higher efficiencies than phase-shifted carrier-based modulation and the SiC two-level inverter. However, using NLM with low-frequency sort-and-select inter-SM balancing methods (sNLM) results in an uneven distribution of battery losses among the SMs, which may impact the thermal design. Using NLM with cyclic submodule duty cycle rotation at the fundamental frequency gives higher efficiencies than sNLM and an even distribution of battery losses among the SMs. Reconstruction of converter reference signals with a higher sample frequency at the submodule level can be used to adapt distributed control architecture to BI-MMCs. The advantage is the low communication burden between the central and the SM control units. Furthermore, the accuracy of the SM battery currents (over one fundamental period) is improved, and the output distortion is low.

Trajectory Planning For An Autonomous Vehicle In Multi Vehicle Traffic Scenarios

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Author : Mahdi Morsali
language : en
Publisher: Linköping University Electronic Press
Release Date : 2021-03-25

Trajectory Planning For An Autonomous Vehicle In Multi Vehicle Traffic Scenarios written by Mahdi Morsali and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-25 with categories.

Tremendous industrial and academic progress and investments have been made in au-tonomous driving, but still many aspects are unknown and require further investigation,development and testing. A key part of an autonomous driving system is an efficient plan-ning algorithm with potential to reduce accidents, or even unpleasant and stressful drivingexperience. A higher degree of automated planning also makes it possible to have a betterenergy management strategy with improved performance through analysis of surroundingenvironment of autonomous vehicles and taking action in a timely manner. This thesis deals with planning of autonomous vehicles in different urban scenarios, road,and vehicle conditions. The main concerns in designing the planning algorithms, are realtime capability, safety and comfort. The planning algorithms developed in this thesis aretested in simulation traffic situations with multiple moving vehicles as obstacles. The re-search conducted in this thesis falls mainly into two parts, the first part investigates decou-pled trajectory planning algorithms with a focus on speed planning, and the second sectionexplores different coupled planning algorithms in spatiotemporal environments where pathand speed are calculated simultaneously. Additionally, a behavioral analysis is carried outto evaluate different tactical maneuvers the autonomous vehicle can have considering theinitial states of the ego and surrounding vehicles. Particularly relevant for heavy duty vehicles, the issues addressed in designing a safe speedplanner in the first part are road conditions such as banking, friction, road curvature andvehicle characteristics. The vehicle constraints on acceleration, jerk, steering, steer ratelimitations and other safety limitations such as rollover are further considerations in speedplanning algorithms. For real time purposes, a minimum working roll model is identified us-ing roll angle and lateral acceleration data collected in a heavy duty truck. In the decoupledplanners, collision avoiding is treated using a search and optimization based planner. In an autonomous vehicle, the structure of the road network is known to the vehicle throughmapping applications. Therefore, this key property can be used in planning algorithms toincrease efficiency. The second part of the thesis, is focused on handling moving obstaclesin a spatiotemporal environment and collision-free planning in complex urban structures.Spatiotemporal planning holds the benefits of exhaustive search and has advantages com-pared to decoupled planning, but the search space in spatiotemporal planning is complex.Support vector machine is used to simplify the search problem to make it more efficient.A SVM classifies the surrounding obstacles into two categories and efficiently calculate anobstacle free region for the ego vehicle. The formulation achieved by solving SVM, con-tains information about the initial point, destination, stationary and moving obstacles.These features, combined with smoothness property of the Gaussian kernel used in SVMformulation is proven to be able to solve complex planning missions in a safe way. Here, three algorithms are developed by taking advantages of SVM formulation, a greedysearch algorithm, an A* lattice based planner and a geometrical based planner. One general property used in all three algorithms is reduced search space through using SVM. In A*lattice based planner, significant improvement in calculation time, is achieved by using theinformation from SVM formulation to calculate a heuristic for planning. Using this heuristic,the planning algorithm treats a simple driving scenario and a complex urban structureequal, as the structure of the road network is included in SVM solution. Inspired byobserving significant improvements in calculation time using SVM heuristic and combiningthe collision information from SVM surfaces and smoothness property, a geometrical planneris proposed that leads to further improvements in calculation time. Realistic driving scenarios such as roundabouts, intersections and takeover maneuvers areused, to test the performance of the proposed algorithms in simulation. Different roadconditions with large banking, low friction and high curvature, and vehicles prone to safetyissues, specially rollover, are evaluated to calculate the speed profile limits. The trajectoriesachieved by the proposed algorithms are compared to profiles calculated by optimal controlsolutions.

Optimization And Optimal Control In Automotive Systems

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Author : Harald Waschl
language : en
Publisher: Springer
Release Date : 2014-03-20

Optimization And Optimal Control In Automotive Systems written by Harald Waschl and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-20 with Technology & Engineering categories.

This book demonstrates the use of the optimization techniques that are becoming essential to meet the increasing stringency and variety of requirements for automotive systems. It shows the reader how to move away from earlier approaches, based on some degree of heuristics, to the use of more and more common systematic methods. Even systematic methods can be developed and applied in a large number of forms so the text collects contributions from across the theory, methods and real-world automotive applications of optimization. Greater fuel economy, significant reductions in permissible emissions, new drivability requirements and the generally increasing complexity of automotive systems are among the criteria that the contributing authors set themselves to meet. In many cases multiple and often conflicting requirements give rise to multi-objective constrained optimization problems which are also considered. Some of these problems fall into the domain of the traditional multi-disciplinary optimization applied to system, sub-system or component design parameters and is performed based on system models; others require applications of optimization directly to experimental systems to determine either optimal calibration or the optimal control trajectory/control law. Optimization and Optimal Control in Automotive Systems reflects the state-of-the-art in and promotes a comprehensive approach to optimization in automotive systems by addressing its different facets, by discussing basic methods and showing practical approaches and specific applications of optimization to design and control problems for automotive systems. The book will be of interest both to academic researchers, either studying optimization or who have links with the automotive industry and to industrially-based engineers and automotive designers.

Handbook Of Power Electronics In Autonomous And Electric Vehicles

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Author : Muhammad H. Rashid
language : en
Publisher: Elsevier
Release Date : 2024-07-22

Handbook Of Power Electronics In Autonomous And Electric Vehicles written by Muhammad H. Rashid and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-22 with Technology & Engineering categories.

Handbook of Power Electronics in Autonomous and Electric Vehicles provides advanced knowledge on autonomous systems, electric propulsion in electric vehicles, radars and sensors for autonomous systems, and relevant aspects of energy storage and battery charging. The work is designed to provide clear technical presentation with a focus on commercial viability. It supports any and all aspects of a project requiring specialist design, analysis, installation, commissioning and maintenance services. With this book in hand, engineers will be able to execute design, analysis and evaluation of assigned projects using sound engineering principles and commercial requirements, policies, and product and program requirements. - Presents core power systems and engineering applications relevant to autonomous and electric vehicles in characteristic depth and technical presentation - Offers practical support and guidance with detailed examples and applications for laboratory vehicular test plans and automotive field experimentation - Includes modern technical coverage of emergent fields, including sensors and radars, battery charging and monitoring, and vehicle cybersecurity

Advanced Microsystems For Automotive Applications 2013

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Author : Jan Fischer-Wolfarth
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-04

Advanced Microsystems For Automotive Applications 2013 written by Jan Fischer-Wolfarth and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-04 with Technology & Engineering categories.

The road vehicle of the future will embrace innovations from three major automotive technology fields: driver assistance systems, vehicle networking and alternative propulsion. Smart systems such as adaptive ICT components and MEMS devices, novel network architectures, integrated sensor systems, intelligent interfaces and functional materials form the basis of these features and permit their successful and synergetic integration. They increasingly appear to be the key enabling technologies for safe and green road mobility. For more than fifteen years the International Forum on Advanced Microsystems for Automotive Applications (AMAA) has been successful in detecting novel trends and in discussing the technological implications from early on. The topic of the AMAA 2013 will be “Smart Systems for Safe and Green Vehicles”. This book contains peer-reviewed papers written by leading engineers and researchers which all address the ongoing research and novel developments in the field. www.amaa.de

Modeling And Control Of Engines And Drivelines

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Author : Lars Eriksson
language : en
Publisher: John Wiley & Sons
Release Date : 2014-04-07

Modeling And Control Of Engines And Drivelines written by Lars Eriksson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-07 with Technology & Engineering categories.

Control systems have come to play an important role in the performance of modern vehicles with regards to meeting goals on low emissions and low fuel consumption. To achieve these goals, modeling, simulation, and analysis have become standard tools for the development of control systems in the automotive industry. Modeling and Control of Engines and Drivelines provides an up-to-date treatment of the topic from a clear perspective of systems engineering and control systems, which are at the core of vehicle design. This book has three main goals. The first is to provide a thorough understanding of component models as building blocks. It has therefore been important to provide measurements from real processes, to explain the underlying physics, to describe the modeling considerations, and to validate the resulting models experimentally. Second, the authors show how the models are used in the current design of control and diagnosis systems. These system designs are never used in isolation, so the third goal is to provide a complete setting for system integration and evaluation, including complete vehicle models together with actual requirements and driving cycle analysis. Key features: Covers signals, systems, and control in modern vehicles Covers the basic dynamics of internal combustion engines and drivelines Provides a set of standard models and includes examples and case studies Covers turbo- and super-charging, and automotive dependability and diagnosis Accompanied by a web site hosting example models and problems and solutions Modeling and Control of Engines and Drivelines is a comprehensive reference for graduate students and the authors’ close collaboration with the automotive industry ensures that the knowledge and skills that practicing engineers need when analysing and developing new powertrain systems are also covered.

Fast Numerical Methods For Mixed Integer Nonlinear Model Predictive Control

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Author : Christian Kirches
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-23

Fast Numerical Methods For Mixed Integer Nonlinear Model Predictive Control written by Christian Kirches and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-23 with Computers categories.

Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for which feasibility and optimality certificates can be given even after discretization and rounding.

Organic Rankine Cycle Technology For Heat Recovery

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Author : Enhua Wang
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-11-07

Organic Rankine Cycle Technology For Heat Recovery written by Enhua Wang and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-07 with Science categories.

This book on organic Rankine cycle technology presents nine chapters on research activities covering the wide range of current issues on the organic Rankine cycle. The first section deals with working fluid selection and component design. The second section is related to dynamic modeling, starting from internal combustion engines to industrial power plants. The third section discusses industrial applications of waste heat recovery, including internal combustion engines, LNG, and waste water. A comprehensive analysis of the technology and application of organic Rankine cycle systems is beyond the aim of the book. However, the content of this volume can be useful for scientists and students to broaden their knowledge of technologies and applications of organic Rankine cycle systems.

Advances In Automotive Control 2004 2 Volume Set

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Author : G Rizzo
language : en
Publisher: Elsevier
Release Date : 2005-11-07

Advances In Automotive Control 2004 2 Volume Set written by G Rizzo and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-07 with Science categories.