Modeling, dynamics, and control of electrified vehicles /

Modelling, Dynamics and Control of Electrified Vehicles provides a systematic overview of EV-related key components, including batteries, electric motors, ultracapacitors and system-level approaches, such as energy management systems, multi-source energy optimization, transmission design and control...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Zhang, Hui (Editor ), Cao, Dongpu (Editor ), Du, Haiping, 1968- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Duxford, United Kingdom : Woodhead Publishing, [2018]
Temas:
Electric vehicles.
V�ehicules �electriques.
electric vehicles.
BUSINESS & ECONOMICS > Industries > Transportation.
TRANSPORTATION > Public Transportation.
Electric vehicles
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • Modeling, Dynamics, and Control of Electrified Vehicles
  • Copyright Page
  • Contents
  • List of Contributors
  • 1 Modeling, Evaluation, and State Estimation for Batteries
  • 1.1 Introduction
  • 1.2 Battery Modeling
  • 1.2.1 Physical-Based Models
  • 1.2.1.1 Single Particle Model
  • 1.2.1.2 Pseudo Two-Dimensional Model
  • 1.2.2 Lumped Parameter Electric Model
  • 1.3 Evaluation of Model Accuracy
  • 1.3.1 Some Experiments
  • 1.3.1.1 OCV Test
  • 1.3.1.2 HPPC Test
  • 1.3.1.3 Driving Cycle Experiment
  • 1.3.2 Parameter Identification Methods
  • 1.3.2.1 Offline Methods1.3.2.2 Online Methods
  • 1.3.3 Evaluation of n-RC Networks Model
  • 1.3.3.1 In Case of n=0
  • 1.3.3.2 In Case of n=1
  • 1.3.3.3 In Case of n=2
  • 1.3.3.4 In Case of n=n
  • 1.4 State Estimation
  • 1.4.1 Definition of SoC
  • 1.4.2 Classification of Estimation Methods
  • 1.4.3 Description of AEKF Algorithm
  • 1.4.3.1 AEKF Approaches
  • 1.4.3.2 Application to the Battery System
  • 1.5 Conclusions
  • References
  • 2 High-Power Energy Storage: Ultracapacitors
  • 2.1 Introduction
  • 2.1.1 UC Fundamentals
  • 2.1.2 UC Management System
  • 2.2 Modeling2.2.1 Electrochemical Models
  • 2.2.2 Equivalent Circuit Models
  • 2.2.3 Intelligent Models
  • 2.2.4 Fractional-Order Models
  • 2.2.5 Self-Discharge
  • 2.2.6 Thermal Modeling
  • 2.3 UC State Estimation
  • 2.3.1 SoC Estimation
  • 2.3.2 SoH Monitoring
  • 2.4 Conclusions
  • Further Reading
  • 3 HESS and Its Application in Series Hybrid Electric Vehicles
  • 3.1 Introduction
  • 3.2 Modeling and Application of HESS
  • 3.2.1 Modeling and Optimization of Four Typical HESS Topologies
  • 3.2.1.1 HESS Configurations
  • 3.2.1.2 Construction of the Optimization Framework3.2.1.3 Modeling of the HESS
  • Battery Model
  • Ultracapacitor Pack Model
  • DC/DC Converter Model
  • Vehicle and Transmission Model
  • DP Algorithm Formulation
  • 3.2.2 Comparison of the Four HESS Topologies
  • 3.2.3 Control Strategy Further Optimization for HESS
  • 3.2.3.1 Systematic Optimization Procedure for the Power Management of the HESS
  • 3.2.3.2 Analysis of the Optimization Results
  • 3.2.3.3 Optimal Energy-Management Strategy
  • 3.2.4 Case Study for the Application of HESS in a Series Hybrid Electric Vehicle3.2.4.1 Plug-In Hybrid Electric Vehicle Configuration
  • 3.2.4.2 Integrated Power Management
  • 3.2.4.3 Simulation Results
  • 3.3 Conclusion
  • References
  • 4 Transmission Architecture and Topology Design of EVs and HEVs
  • 4.1 Introduction
  • 4.1.1 Architecture of Electric Vehicles
  • 4.1.2 Architecture of Hybrid EVs
  • 4.1.2.1 Series Hybrid
  • 4.1.2.2 Parallel Hybrid
  • 4.1.2.3 Combined Hybrid
  • 4.2 EV and HEV Architecture Representation
  • 4.2.1 Stick Diagram

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