| Description |
1 online resource (140 pages) |
| Series |
Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart |
|
Research (Wiesbaden, Germany)
|
| Contents |
Intro; Preface; Contents; Figures; Tables; Abbreviations; Symbols; Abstract; Kurzfassung; 1 Introduction; 1.1 Motivation and Goals of this Work; 1.2 Hybrid Powertrains; 1.2.1 History; 1.2.2 Architectures; 1.2.3 Classification; 1.3 Control Strategies for Hybrid Vehicles; 1.3.1 Operation Modes; 1.3.2 Classification; 1.3.3 Dynamic Programming; 1.3.4 Equivalent Consumption Minimization Strategy; 1.4 Driving Cycles; 2 Powertrain; 2.1 HEV Modeling; 2.1.1 Equations of Motion and Driving Resistances; 2.1.2 Powertrain Modeling Approaches; 2.1.3 Powertrain Components; 2.2 Vehicle Parameters |
|
2.3 Simulations2.3.1 Final Drive Optimization; 2.3.2 Model Comparison; 2.4 Interpretation of the Results; 3 Internal Combustion Engine; 3.1 Internal Combustion Engine Modeling; 3.1.1 Thermodynamics; 3.1.2 Heat Transfer; 3.1.3 Computational Fluid Dynamics; 3.1.4 Time Discretization; 3.1.5 Engine Friction; 3.2 Used Engine Models; 3.2.1 0.8 Liter Naturally Aspirated Engine; 3.2.2 2.0 Liter Naturally Aspirated Engine; 3.2.3 1.5 Liter Turbo Charged Engine; 3.2.4 Fast Running Engine Models; 3.2.5 Mean Value Models; 3.2.6 Map-Based Models; 3.3 Engine Simulations; 3.3.1 Stationary Comparison |
|
3.3.2 Dynamic Investigations3.4 Vehicle Simulations; 3.4.1 Driving Cycles; 3.4.2 Model Comparison; 3.5 Interpretation of the Results; 4 Battery; 4.1 Batteries for Automotive Applications; 4.2 Battery Modeling; 4.3 Used Battery Models; 4.3.1 Dynamic Model; 4.3.2 Derivation of a Static Model; 4.4 Battery Simulations; 4.5 Vehicle Simulations; 4.6 Interpretation of the Results; 5 Summary and Conclusion; Bibliography |
| Summary |
This work presents an investigation of the influence of different modeling approaches on the quality of fuel economy simulations of hybrid electric powertrains. The main focus is on the challenge to accurately include transient effects and reduce the computation time of complex models. Methods for the composition of entire powertrain models are analyzed as well as the modeling of the individual components internal combustion engine and battery. The results shall help with the selection of suitable models for specific simulation tasks and provide a deeper understanding of the dynamic processes within simulations of hybrid electric vehicles |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Hybrid electric vehicles -- Power trains -- Simulation methods
|
|
TECHNOLOGY & ENGINEERING -- Engineering (General)
|
| Form |
Electronic book
|
| ISBN |
9783658225544 |
|
3658225548 |
|
