Adaptive Traction, Torque, and Power Control Strategies for Extended-range Electric Vehicles

Adaptive Traction, Torque, and Power Control Strategies for Extended-range Electric Vehicles
Author:
Publisher:
Total Pages:
Release: 2012
Genre: Computer algorithms
ISBN:
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Modern hybrid electric and pure electric vehicles are highly dependent on control algorithms to provide seamless safe and reliable operation under any driving condition, regardless of driver behavior. Three unique and independently operating supervisory control algorithms are introduced to improve reliability and vehicle performance on a series-hybrid electric vehicle with an all-wheel drive all-electric drivetrain. All three algorithms dynamically control or limit the amount of torque that can be delivered to the wheels through an all-electric drivetrain, consisting of two independently controlled brushless-direct current (BLDC) electric machines. Each algorithm was developed and validated following a standard iterative engineering development process which places a heavy emphasis on modeling and simulation to validate the algorithms before they are tested on the physical system. A comparison of simulated and in-vehicle test results is presented, emphasizing the importance of modeling and simulation in the design process.

Practical Control of Electric Machines for EV/HEVs

Practical Control of Electric Machines for EV/HEVs
Author: Shuiwen Shen
Publisher: Springer Nature
Total Pages: 337
Release: 2023-09-01
Genre: Technology & Engineering
ISBN: 3031381610
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Upon the ongoing profound revolution in the automotive industry, this book is primarily intended to give guidance on the practical design of traction motor control for pure electric vehicles (EVs) and hybrid electric vehicles (HEVs). An overview of the state-of-the-art motor types is provided to help understanding the background of automotive motor drives and the EV/HEV motor control specifications. Using AC induction motor control as a benchmark example, it addresses the motor control techniques by means of design, analysis, examples with MATLAB scripts wherever applicable, and practical control software architecture diagrams. In particular, an extensive analysis and discussion are made on the widely used vector control method together with multiple optimization schemes. As such, it gives coverage of the electric traction control including dynamics, efficiency, and the high-speed power capability, taking into account the constraints of vehicle configuration and requirements. The vector control and optimization strategies presented in this book can be ported across to other AC motor types without losing much generality. This book tries to bridge the gap between theory and practicality. Beginning with basic motor theory and completing the motor control design by introducing voltage source inverter (VSI) pulse width modulation (PWM) techniques, it helps the reader take a step-by-step approach from understanding fundamental motor characteristics through to practical design of in-depth motor control strategies.

Active Torque Vectoring for All Wheel Drive FSAE Electric Car

Active Torque Vectoring for All Wheel Drive FSAE Electric Car
Author: Vikas Tukaram Pawar
Publisher:
Total Pages: 236
Release: 2016
Genre:
ISBN:
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UTA Racing is known for building well-engineered FSAE racecars. This year team is building, its first electric car by using AWD in-wheel motor concept car E-16. All wheel drive electric vehicles has an ability to apply instantaneous torque to all four wheels permit increased car performance. An 'Active Model Based Torque Vectoring System controller' is designed to realize this objective. The controller was designed to replicate three electronically controlled LSD's on an all-wheel drive platform with different control strategies. This was achieved based on the principal of distributing total driver requested torque between wheels, equivalent to the percentage of the normal load on the tires. Steady state vehicle dynamics models are combined with on board sensors and driver inputs to calculate normal loads on each wheel. This system dictates torque to each motor controller in terms of duty cycle based on measured inputs Torque vectoring system has designed based on two strategies called 3 differential strategy and 2 differential strategy has implemented in this study. The detailed discussion about reason behind these strategies are discussed in this study. MATLAB Simulink program used for programming the torque vectoring controllers due to ease of programming, debugging, analysis, simulations and automatic conversion to Ccode. .This state based controller has tested using MATLAB program to realize output of controller program during different driving scenario.

Advances in Mechanism and Machine Science

Advances in Mechanism and Machine Science
Author: Tadeusz Uhl
Publisher: Springer
Total Pages: 4248
Release: 2019-06-13
Genre: Technology & Engineering
ISBN: 3030201317
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This book gathers the proceedings of the 15th IFToMM World Congress, which was held in Krakow, Poland, from June 30 to July 4, 2019. Having been organized every four years since 1965, the Congress represents the world’s largest scientific event on mechanism and machine science (MMS). The contributions cover an extremely diverse range of topics, including biomechanical engineering, computational kinematics, design methodologies, dynamics of machinery, multibody dynamics, gearing and transmissions, history of MMS, linkage and mechanical controls, robotics and mechatronics, micro-mechanisms, reliability of machines and mechanisms, rotor dynamics, standardization of terminology, sustainable energy systems, transportation machinery, tribology and vibration. Selected by means of a rigorous international peer-review process, they highlight numerous exciting advances and ideas that will spur novel research directions and foster new multidisciplinary collaborations.

Torque Vectoring to Maximize Straight-line Efficiency in an All-electric Vehicle with Independent Rear Motor Control

Torque Vectoring to Maximize Straight-line Efficiency in an All-electric Vehicle with Independent Rear Motor Control
Author: William Blake Brown
Publisher:
Total Pages: 0
Release: 2021
Genre:
ISBN:
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BEVs are a critical pathway towards achieving energy independence and meeting greenhouse and pollutant gas reduction goals in the current and future transportation sector [1]. Automotive manufacturers are increasingly investing in the refinement of electric vehicles as they are becoming an increasingly popular response to the global need for reduced transportation emissions. Therefore, there is a desire to extract the most fuel economy from a vehicle as possible. Some areas that manufacturers spend much effort on include minimizing the vehicle’s mass, body drag coefficient, and drag within the powertrain. When these values are defined or unchangeable, interest is driven to other areas such as investigating the control strategy of the powertrain. If two or more electric motors are present in an electric vehicle, Torque Vectoring (TV) strategies are an option to further increase the fuel economy of electric vehicles. Most of the torque vectoring strategies in literature focus exclusively on enhancing the vehicle stability and dynamics with few approaches that consider efficiency or energy consumption. The limited research on TV that addresses system efficiency have been done on a small number of vehicle architectures, such as four independent motors, and are distributing torque front/rear instead of left/right which would not induce any yaw moment. The proposed research aims to address these deficiencies in the current literature. First, by implementing an efficiency-optimized TV strategy for a rear-wheel drive, dual-motor vehicle under straight-line driving as would be experienced in during the EPA drive cycle tests. Second, by characterizing the yaw moment and implementing strategies to mitigate any undesired yaw motion. The application of the proposed research directly impacts dual-motor architectures in a way that improves overall efficiency which also drives an increase in fuel economy. Increased fuel economy increases the range of electric vehicles and reduces the energy demand from an electrical source that may be of non-renewable origin such as coal.

Intelligent Control of Connected Plug-in Hybrid Electric Vehicles

Intelligent Control of Connected Plug-in Hybrid Electric Vehicles
Author: Amir Taghavipour
Publisher: Springer
Total Pages: 202
Release: 2018-09-26
Genre: Technology & Engineering
ISBN: 3030003140
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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 Electro-Mechanical Hybrid Differential for Traction Control in Electric and Hybrid Vehicles

Design and Development of Electro-Mechanical Hybrid Differential for Traction Control in Electric and Hybrid Vehicles
Author: Sujan Neroula
Publisher:
Total Pages: 0
Release: 2022-10-02
Genre:
ISBN: 9783584037136
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In the chapter "Overview on Electric vehicles and hybrid vehicles " discusses in detail the basics of electric and hybrid vehicles. A brief history of the EVs followed by a detailed review of the existing technology in the field of EVs and the hybrid vehicle has been presented in chronological order. The chapters incorporate the technological advancements in various drivetrain configurations of a hybrid vehicle, AC and DC motors used in EVs, traction control strategies, and torque coupling techniques. In the chapter titled "Design of Electric Vehicle", various steps involved in the designing of the vehicle have been presented. A backward approach i.e., the power flow starting from the power source and successively moving towards the wheels going through transmission and torque conversion has been presented in detail. The vehicle dynamics, structure, and key design techniques are taken into consideration while designing the vehicle that has been presented in this chapter. In the chapter titled "Traction control based on passenger occupancy status", a comprehensive study on the effect of passenger occupancy on vehicle dynamics has been presented. Along with this, simulation, analysis, and the application of the passenger occupancy model in a lightweight vehicle have been presented with real-time on-road results. In the chapter, titled "Design and analysis of an electronic differential for torque vectoring in an independently rear-wheel driven electric vehicle using multiple-frequency control", the prior art in the field of electronic differential has been discussed. Along with this, the concept of multiple frequency-controlled electronic differentials has been put forward. The design parameters and details have been presented along with the real-time on-road results obtained during the assessment of the differential. In the chapter titled "Design and development of Electro-Mechanical Hybrid Differential (EMHD) for traction control in electric and hybrid vehicles", a novel design of hybrid differential has been proposed. The chapter presents the motivation behind the EMHD, conceptualization, and modeling of the EMHD, and design of the EMHD. The chapter also includes various simulation situations considered for the assessment of the EMHD model in the simulation environment. The steps involved in the designing of the EMHD, along with the know-how and design details have been presented. Finally, the chapter titled "Conclusions" presents the summary of the Ph.D. work and some important results. Along with this, the contribution of the work in the field of e-mobility and the future scope has been presented.