Reprint

Advanced X-by-Wire Technologies in Design, Control and Measurement for Vehicular Electrified Chassis

Edited by
July 2023
268 pages
  • ISBN978-3-0365-8056-2 (Hardback)
  • ISBN978-3-0365-8057-9 (PDF)

This book is a reprint of the Special Issue Advanced X-by-Wire Technologies in Design, Control and Measurement for Vehicular Electrified Chassis that was published in

Engineering
Summary

Advanced X-by-wire technologies for vehicular electrified chassis play an essential role in the development of new energy intelligent vehicles, which is the inevitable choice for intelligent vehicles in the future. This technology is involved in mechanical engineering, electronic and electrical engineering, computer technology, control engineering, signal processing, and artificial intelligence. Advanced electrified chassis control technology transmits control signals through cables and acts directly on the actuator to implement corresponding actions. The application of X-by-wire technologies for vehicular electrified chassis has changed the complex mechanical connections among actuators and hydraulic and pneumatic equipment in the past, greatly promoting energy efficiency, integration, and intelligence. 

This reprint focuses on advanced X-by-wire technologies in strong reliability design, modeling, integration control, thermal management, energy management, fault diagnosis, and fault-tolerant control with the vehicular electrified chassis. Therefore, the aim of this reprint was to solicit recent advanced X-by-wire technologies for vehicular electrified chassis. 

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
energy consumption optimization; torque distribution; energy efficiency; motor efficiency; four in-wheel motor drive electric vehicle; nonlinear model predictive control; four-wheel drive; acceleration slip regulation; intervention and exit mechanisms; autonomous driving; planning algorithm; variable Gaussian safety field; reinforcement learning; policy gradient; x-by-wire vehicle; trajectory tracking control; model predictive control; hierarchical control; distributed drive electric vehicles; additional roll moment; decoupling control; load transfer rate; electronically controlled air suspension; solenoid valve; extended Kalman filter bank; fault diagnosis; fault-tolerant control; distributed driving electric vehicles; polynomial path planning; model predictive control; torque allocation; obstacle avoidance path tracking; fuzzy neural network; particle swarm algorithm; PID control; active suspension; MATLAB/Simulink simulation; suspension; mechatronic inerter; bridge network; high-order impedance; real vehicle test; autonomous vehicle; path tracking control; non-singular fast terminal sliding mode control; model reference control; vehicle; suspension; mechatronic inerter; fractional-order electrical network; structure-immittance approach; optimal design; multi-agent coordinated control system; active collision avoidance; blackboard model; real-time; electric vehicles; regenerative braking; energy recovery; genetic algorithm; braking stability; vehicle; seat suspension; inerter; mechatronic system; permanent magnet synchronous machine (PMSM); position sensorless compound control; high frequency (HF) signal injection method; I/F control; model-based techniques; n/a