This paper presents a collaborative control system for an electric vehicle chassis based on a centralized and hierarchical control architecture. The centralized controller was designed for the suspension and steering system, which is used for improving ride comfort and handling stability; the hierarchical controller was designed for the braking system, which is used for distributing the proport...

Based on the structural features of electric vehicle (EV) driven by in-wheel motors and the characteristics of low speed as well as high torque for in-wheel motors, regenerative braking method for in-wheel motors has been presented. All braking torque for vehicle deceleration is output by in-wheel motors under Medium-intensity braking condition for the sake of recovering the maximum braking ene...

Automotive driving safety systems such as an anti-lock braking system (ABS) and an electronic stability program (ESP) assist drivers in controlling the vehicle to avoid road accidents. In this paper, ABS and the ESP, based on the fuzzy logic theory, are integrated for vehicle stability control in complex braking maneuvers. The proposed control algorithm is implemented for a sport utility vehicl...

This paper proposes an intelligent regenerative braking control of hybrid buses through a neuro-fuzzy controller (NFC) by combining the fuzzy logic algorithm and the artificial neural networks. The braking torque distribution between the integrating starting generator (ISG) and the friction disc brake is addressed through the proposed NFC. The results of simulation and validation show that the ...

Anti-lock braking system is designed to optimize braking procedure while maintaining automobile steerability through controlling wheels slip. However, due to nonlinearity and uncertainty of ABS structure, designing the controller for wheel slip encounters so many problems which necessitate a robust control system. In this paper, a hybrid controller is proposed for ABS to address this issue. The...

This paper presents a fuzzy logic model of regenerative braking (FLmRB) for modeling EVs’ regenerative braking systems (RBSs). The model has the vehicle’s acceleration and jerk, and the road inclination as input variables, and the output of the FLmRB is the regeneration factor, i.e. the ratio of regenerative braking force to the total braking force. The regeneration factor expresses the percent...

In this paper the design and the operation of the drive system in a Fuel Cell Electric Vehicle (FCEV) is presented. The system consists of a Proton Exchange Membrane Fuel Cell (PEMFC) stack, an interleaved boost converter, battery pack connected via a bidirectional buck-boost converter and a brushless DC motor (BLDC) driven by a three phase inverter. A basic analysis of each component of the in...

Based on analyzing the structure of Parallel Hybrid Electric Vehicle (PHEV) and its operation during regenerative braking, a fuzzy control strategy of battery management is proposed. Firstly, the state of charging is estimated by establishing the mathematical relationship between open circuit voltage and the internal resistance model. Secondly, the fuzzy logic controller is designed in regenera...

electric and hybrid electric vehicles are attractive candidates for sustainable transportation due to its higher efficiency and low emission. the critical choice on the electric motors is its capability of motoring and regenerative braking characteristics. switched reluctance machines are viable candidate as with proper control and extended constant power range operation replacing the multi-gea...