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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter

Chapter 1. Introduction

Abstract
Since Ford launched the car assembly line in 1913, the cost of automobile production has greatly reduced and cars have gradually become a popular commodity. With the increase in car ownership, the conventional internal combustion engine vehicles (ICVs) were confronted with two serious problems: the energy crisis and air pollution.
Xudong Zhang

Chapter 2. Literature Review

Abstract
In order to achieve the improvement of vehicle stability and economy, DDEV needs to rationally distribute the traction and corrective yaw moment on four independent drive motors on the basis of the accurate estimation of vehicle state and tire-road friction coefficient. Therefore, in this chapter, literature review is carried out from the following three aspects: vehicle state and tire-road friction coefficient estimation, direct yaw moment control techniques, and torque allocation.
Xudong Zhang

Chapter 3. Distributed Drive Electric Vehicle Model

Abstract
To validate the vehicle stability and energy-saving control system proposed in the subsequent chapters through comprehensive computer simulations, an accurate full vehicle model that closely reflects the vehicle dynamics in reality is required in order to establish the simulation model in the MATLAB/Simulink environment. The vehicle model should contain sub-models of vehicle body motion, wheel, tire, steering, motor and driver, which have following functions.
Xudong Zhang

Chapter 4. Vehicle State and Tire-Road Friction Coefficient Estimation

Abstract
Many vehicle control systems, such as the anti-lock braking system (ABS), the acceleration slip regulation (ASR), and the electronic stability programming (ESP), have become standard equipments on automobiles nowadays to guarantee the vehicle stability under critical conditions [170]–[172].
Xudong Zhang

Chapter 5. Direct Yaw Moment Controller Design

Abstract
In the previous two decades, numerous studies have been conducted into improving vehicle handling and stability by direct yaw moment control (DYC) [44], [119], [185]. Most traditional ICVs on the market are equipped with brake-based VDC systems.
Xudong Zhang

Chapter 6. Stability-Based Control Allocation Using KKT Global Optimization Algorithm

Abstract
Taking the torque signals of four motors as control variables, a DDEV is typical over-actuated system. In order to coordinate these redundant actuators and achieve satisfactory control effect, the key point is torque allocation, which is a control allocation (CA) issue.
Xudong Zhang

Chapter 7. Energy-Efficient Toque Allocation for Traction and Regenerative Braking

Abstract
The improvements of the electric motor and motor controller technology have led to many significant developments on the vehicle power train configuration. One of the latest configurations is known as the distributed drive electric vehicles (DDEVs) [179], [219], which employs four motors that are attached to each wheel and independently controlled.
Xudong Zhang

Chapter 8. Simulation and Verification on the Proposed Model and Control Strategy

Abstract
The above-mentioned chapters in this book discussed the vehicle state and TRFC estimation, direct yaw moment control, torque vectoring, energy-efficient control, respectively. This chapter will validate the effectiveness and robustness of the proposed model, control algorithms and methods under different maneuvers based on the simulative experimental platform, as shown in Figure 8.1.
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Chapter 9. Conclusions and Future Work

Abstract
This chapter summarizes this book and presents some potential directions in the area of DDEV modeling and dynamics control for the future work.
Xudong Zhang

Backmatter

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