Intelligent Control of Connected Plug-in Hybrid Electric Vehicles. (2018)
- Record Type:
- Book
- Title:
- Intelligent Control of Connected Plug-in Hybrid Electric Vehicles. (2018)
- Main Title:
- Intelligent Control of Connected Plug-in Hybrid Electric Vehicles
- Further Information:
- Note: Amir Taghavipour, Mahyar Vajedi, Nasser L. Azad.
- Authors:
- Taghavipour, Amir
Vajedi, Mahyar
Azad, Nasser L - 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;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 … (more)
- Publisher Details:
- Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 629.2293
Engineering
Hybrid electric vehicles
Engineering design
TECHNOLOGY & ENGINEERING / Engineering (General)
Technology & Engineering -- Power Resources -- General
Technology & Engineering -- Automotive
Mathematics -- Calculus
Power generation & distribution
Automotive technology & trades
Calculus of variations
Mathematical optimization
Technology & Engineering -- Automation
Automatic control engineering
Electronic books - Languages:
- English
- ISBNs:
- 9783030003142
3030003140 - Related ISBNs:
- 9783030003135
3030003132 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF file page (EBSCO, viewed October 1, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.333882
- Ingest File:
- 01_279.xml