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This paper presents the design and evaluation of an emergency driving support (EDS) algorithm. The control objective is to assist driver's collision avoidance maneuver to overcome a hazardous situation. To support driver, electrically controllable chassis components such as motor driven power steering (MDPS) and differential braking and surrounding sensor systems such as radar and camera are used. The EDS algorithm is designed for 3 parts: monitoring, decision, and control. The proposed EDS algorithm recognizes a collision danger using minimum lateral acceleration to avoid collision and time-to-collision (TTC) and driver's intention using sensor systems. The control mode is determined using the indices from monitoring process and the collision avoidance trajectory is derived with trapezoidal acceleration profile (TAP).

This paper describes a driving control algorithm based on a skid steering for a Robotic Vehicle with Articulated Suspension (RVAS). The RVAS is a kind of unmanned ground vehicle based on a skid steering using independent in-wheel drive at each wheel. The driving control algorithm consists of four parts: a speed controller for following a desired speed, a lateral motion controller that computes a yaw moment input to track a desired yaw rate or a desired trajectory according to the control mode, a longitudinal tire force distribution algorithm that determines an optimal desired longitudinal tire force and a wheel torque controller that determines a wheel torque command at each wheel in order to keep the slip ratio at each wheel below a limit value as well as to track the desired tire force. The longitudinal and vertical tire force estimators are required for the optimal tire force distribution and wheel slip control.

This paper describes the safety test simulation of electrical shock of FCV (Fuel Cell Vehicles) on human. Since FCV operates with high voltage, it is very dangerous to touch on or near the conductive parts. It may hurt human even when conductive parts are surrounded by protectors such as barriers or enclosures. Also various modes of a vehicle, such as driving, idle and failure, can affect electrical shock. It is difficult to carry out field experiments about electrical shock for FCV because of many combinations which depend on the operating voltages and the modes of a vehicle. And electrical safety of FCV must be verified before the manufacturing process. These are the main purposes of this study. MATLAB Simulink is the tool to conduct the simulation. All of the electronic devices in an FCV and a human body were modeled to measure current through human body when human touches on FCV. We performed the simulation with respect to driving, idle and failure mode.

This paper presents a real-time vehicle powertrain simulator and a pseudo real-time multi-vehicle platoon simulator. The developed powertrain simulator simulates the complex vehicle powertrain dynamics, including detailed shifting transients, in the PC environment in real time. The driver input is provided using a throttle pedal interfaced using the game port. The processor requirements vary depending on the simulation options selected. In the basic version, this requirement is only approximately 20% of a 300 MHz Pentium II- based PC. For multi-vehicle platoon simulation, a network configuration is proposed. It links several individual powertrain simulations via the TCP/IP network. This network platoon simulation is also linked to a server which graphically displays the multi-vehicle platoon operation. In this network configuration, due to a random delay in data transfer the simulation time kernel is made to lag real time.