Zhang X. Modeling and Dynamics Control...Electric Vehicles 2021

Textbook in PDF format

Due to the improvements on electric motors and motor control technology, alternative vehicle power system layouts have been considered. One of the latest is known as distributed drive electric vehicles (DDEVs), which consist of four motors that are integrated into each drive and can be independently controllable. Such an innovative design provides packaging advantages, including short transmission chain, fast and accurate torque response, and so on. Based on these advantages and features, this book takes stability and energy-saving as cut-in points, and conducts investigations from the aspects of Vehicle State Estimation, Direct Yaw Moment Control (DYC), Control Allocation (CA). Moreover, lots of advanced algorithms, such as general regression neural network, adaptive sliding mode control-based optimization, as well as genetic algorithms, are applied for a better control performance.
Introduction
Literature Review
Distributed Drive Electric Vehicle Model
Vehicle State and Tire-Road Friction Coefficient Estimation
Direct Yaw Moment Controller Design
Stability-Based Control Allocation Using KKT Global Optimization Algorithm
Energy-Efficient Toque Allocation for Traction and Regenerative Braking
Simulation and Verification on the Proposed Model and Control Strategy
Conclusions and Future Work