Advanced Modeling, Estimation, and Control for Electrified Vehicles
1Shanghai University, Shanghai, China
2Southeast University, Nanjing, China
3University of Alaska Fairbanks, Fairbanks, USA
4University of Wollongong, Wollongong, Australia
5Northumbria University, Newcastle, UK
Advanced Modeling, Estimation, and Control for Electrified Vehicles
Description
Electrified vehicles, especially fully driven electric ground vehicles, are expected to provide significantly increased traffic mobility and road utilization with faster response times. Other benefits include decreased fuel consumption and environmental pollution due to the use of electrified power sources and actuators, increased driving safety, and greater convenience through integration with diverse dynamic subsystems. As an important part of future smart transportation systems, electrified vehicles have attracted increasing attention from academia, industry, and governments across the world due to their many advantages and applications.
However, emerging electrified vehicles will also bring many potential challenges, such as the development of open electrified vehicle architectures and standards across different platforms or the development of advanced dynamics modeling and control technologies in the presence of system nonlinearities and parameter uncertainties. The creation of high precision state estimation schemes using low-cost sensors and information fusion, extended by hub units, represents another crucial challenge, as does the development of hybrid powertrain configurations and energy optimization strategies for maximizing potential, fault diagnosis and fault tolerant control of electric actuators, motors, and power electronics for achieving improved traction and propulsion performance, and the design and application of new communication protocols for in-vehicle networks.
This Special Issue aims to provide a worldwide platform for scientists, engineers, and practitioners to exhibit and discuss state-of-the-art theoretical and technological developments in the modeling, design, analysis, estimation, control, and optimization of eco-friendly electrified vehicles. Original research and review articles are both welcome.
Potential topics include but are not limited to the following:
- Analysis and synthesis of independently driven electrified vehicles
- Vehicle state estimation and parameter identification
- Vehicle dynamic stability and motion control
- Fault detection, isolation, and fault tolerant control
- Path planning and trajectory tracking control
- Powertrain modeling and configuration for electrified vehicles
- Development of advanced electric actuators and motors for traction control
- Application of high power-density electronics with smart DC and AC converters
- Battery systems for state-of-charge estimation and health management
- Integration and vibration control of in-wheel motor-active suspensions
- Energy optimization and management of electrified vehicles
- Design of electrified in-vehicle networks and connected technologies
- Human-machine interaction for intelligent electrified vehicles
- Advanced driver assistance systems