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A new concept electric vehicle (EV) with four-in-wheel motor is developed to make EVs spread widely. Each motor is mounted inside a wheel and can be controlled individually. The batteries and electrical components are placed in the hollow space of frame structure under the seats. Such a compact configuration permits packaging flexibility by eliminating the central drive motor and driveline components, including the transmission, the mechanical differential, the universal joints and the drive shaft. Apart from many mechanical advantages of such a structure, high performances of chassis control systems such as traction control, electronic differential control, direct yaw moment control and regenerative braking control systems are employed due to the rapid response and precise torque control of the motor. Simulation is conducted in ADVISOR and Matlab/Simulink environment.

Since the nonlinearity which inherently exists in vehicle system need to be considered in active suspension control law design, a new control strategy is proposed for active vehicle suspension systems by using a combined control scheme, i.e., respectively using a PID controller and a fuzzy logic controller in two loops. In this paper, the investigation is mainly focused on vehicle ride comfort performance and simulations in straight running operating condition are presented. The control goal is to minimize vehicle body vertical and pitch accelerations for passenger comfort. The control system consists of two parallel control loops. One loop, using PID control, is to minimize vehicle body vertical acceleration; and the fuzzy logic controller is to minimize pitch acceleration and meanwhile to attenuate vehicle body vertical acceleration further by tuning weighting factors.

The paper describes the idea of constructing the rapid development system of vehicle electric control subsystem in details by using hardware-in-the-loop (HiL) simulation technology for cost reduction in today's competitive business environment. This rapid development system is probably most effectively used in parallel with a new vehicle electronic control product. Once a desired simulation results are achieved, it can be verified by setting up the same configurations in the new product and comparing results. The feasibility of using such rapid development system is demonstrated through vehicle ABS algorithm development. Significant reduction of developing cycle time and cost has been achieved with the aid of this powerful tool and promising effectiveness of ABS algorithm has been validated in vehicle field test.

For a semi-active suspension design, an important subject is to determine the control law which can achieve good performance both in ride and handling performance. Because of its superiority in non-linear control systems and capability of learning on-line, the fuzzy neural networks (FNNs) control scheme is proposed in this paper for a semi-active suspension system with dynamic absorber. The quarter vehicle model is described by a nonlinear system with three DOF subject to irregular excitation from a road surface and FNNs control scheme is employed. The on-line learning of FNNs to optimize fuzzy inference system is presented. Four kinds of methods, including passive suspension respectively with and without dynamic absorber, semi-active suspension respectively using fuzzy control and FNNs control, are investigated by computer simulation and comparison is made.