| Document Type
|
:
|
BL
|
| Record Number
|
:
|
859147
|
| Main Entry
|
:
|
Taghavipour, Amir
|
| Title & Author
|
:
|
Intelligent control of connected plug-in hybrid electric vehicles /\ Amir Taghavipour, Mahyar Vajedi, Nasser L. Azad.
|
| Publication Statement
|
:
|
Switzerland :: Springer,, [2019]
|
| Series Statement
|
:
|
Advances in industrial control
|
| Page. NO
|
:
|
1 online resource
|
| ISBN
|
:
|
3030003140
|
|
|
:
|
: 9783030003142
|
|
|
:
|
3030003132
|
|
|
:
|
9783030003135
|
| Bibliographies/Indexes
|
:
|
Includes bibliographical references and index.
|
| Contents
|
:
|
Intro; Series Editor's Foreword; Preface; Acknowledgements; Contents; 1 Introduction; 1.1 Background; 1.2 Motivation and Challenges; 1.3 Objectives and Methods; 1.4 Book Organization; References; 2 Related Work; 2.1 Trip Planning; 2.2 HEV/PHEV Energy Management Strategies; 2.2.1 Dynamic Programming; 2.2.2 Pontryagin's Minimum Principle; 2.2.3 Model Predictive Control; 2.2.4 Explicit Model Predictive Control; 2.2.5 Control-Relevant Parameter Estimated eMPC; 2.2.6 Equivalent Consumption Minimization Strategy; 2.3 Cruise Controller; 2.3.1 Adaptive Cruise Controller
|
|
|
:
|
2.3.2 Ecological Cruise Controller2.4 Summary; References; 3 High-Fidelity Modeling of a Plug-in Hybrid Electric Powertrain; 3.1 Introduction; 3.2 Toyota Prius Plug-in Hybrid Powertrain; 3.3 High-Fidelity Model in MapleSim; 3.3.1 Mean-Value Internal Combustion Engine; 3.3.2 Electric Machines; 3.3.3 Lithium-Ion Battery Pack; 3.3.4 Power-Split Device; 3.3.5 Vehicle Model; 3.4 Model Validation; 3.4.1 Mean-Value Internal Combustion Engine; 3.4.2 Electric Machines; 3.4.3 Lithium-Ion Battery Pack; 3.4.4 Power-Split Device; 3.4.5 Vehicle Model; 3.5 High-Fidelity Model in Autonomie
|
|
|
:
|
3.5.1 Powertrain Model3.5.2 Driver Model; 3.5.3 Powertrain Controller; 3.6 Summary; References; Part I Energy Management Approach; 4 Nonlinear Model Predictive Control; 4.1 NMPC Energy Management Design; 4.1.1 Theory of Model Predictive Control (MPC); 4.1.2 NMPC Performance on the Low-Fidelity Powertrain Model; 4.1.3 NMPC Performance Benchmarking; 4.1.4 NMPC Performance on the High-Fidelity Powertrain Model; 4.2 Low-Level Controls Design; 4.2.1 Engine Control-Oriented Model; 4.2.2 Engine Controls Design; 4.2.3 Results of Simulation; 4.2.4 With Emissions Control; 4.3 Summary; References
|
|
|
:
|
5 Multi-parametric Predictive Control5.1 eMPC Energy Management Strategy Design; 5.1.1 Control-Oriented Model; 5.1.2 Optimization Problem Formulation; 5.1.3 Region Reduction; 5.1.4 Point Location Problem; 5.2 Energy Management Polytopes; 5.3 Stability Notes; 5.4 eMPC Performance Simulation; 5.4.1 No Knowledge of Trip Information; 5.4.2 Known Travelling Distance; 5.4.3 Discussions; 5.5 eMPC Performance Benchmarking via HIL; 5.6 Summary; References; 6 Control-Relevant Parameter Estimated Strategy; 6.1 Control-Relevant Parameter Estimation (CRPE); 6.1.1 Battery Thevenin Model
|
|
|
:
|
6.1.2 Battery Parameters Estimation6.1.3 CRPE Control-Oriented Model; 6.2 CRPE-eMPC Energy Management Polytopes; 6.2.1 CRPE-eMPC Controls Regions; 6.2.2 CRPE-eMPC Stability Notes; 6.3 CRPE-eMPC Performance Simulation; 6.3.1 No Knowledge of Trip Information; 6.3.2 Known Traveling Distance; 6.3.3 Discussions; 6.4 CRPE-eMPC Performance Benchmarking via HIL; 6.5 Summary; References; Part II Smart Ecological Supervisory Controls; 7 Real-Time Trip Planning Module Development and Evaluation; 7.1 Online Optimization Model; 7.2 Real-Time Optimization Procedure; 7.2.1 Dynamic Programming
|
| Abstract
|
:
|
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.
|
| Subject
|
:
|
Engineering design.
|
| Subject
|
:
|
Hybrid electric vehicles.
|
| Subject
|
:
|
Automatic control engineering.
|
| Subject
|
:
|
Automotive technology trades.
|
| Subject
|
:
|
Calculus of variations.
|
| Subject
|
:
|
Engineering design.
|
| Subject
|
:
|
Hybrid electric vehicles.
|
| Subject
|
:
|
Power generation distribution.
|
| Subject
|
:
|
TECHNOLOGY ENGINEERING-- Engineering (General)
|
| Dewey Classification
|
:
|
629.2293
|
| LC Classification
|
:
|
TL221.15.T34 2019eb
|
| Added Entry
|
:
|
Azad, Nasser L.
|
|
|
:
|
Vajedi, Mahyar
|