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This paper describes the design and verification of a sliding mode observer to estimate the state information of the angular velocity and load torque for a motorized seat belt (MSB) system. The MSB system is a type of active safety system which provides functions to protect passengers and improve passenger convenience. To realize the full range of operations of a MSB system, several types of state information such as the motor current, angular velocity and load torque of the DC motor, the seat belt winding velocity and the position and temperature of the DC motor are necessary. Measuring this state information with sensors leads to an increase in both the system cost and its complexity. Furthermore, it is difficult to measure the load torque of a DC motor, which must be done in order to realize the full range of MSB functions.

This paper presents a method to investigate the failure modes of an electric power steering system and to analyze the faults effects systematically by use of an accurate simulation model. EPS is one of safety critical systems which should be designed to be fault-tolerant. In order to make a system fault-tolerant, some special design and analysis methods are indispensable. To analyze the effects of these faults the intuitive system model is developed using MATLAB/Simulink and the major failure modes of system are investigated. The developed model provides useful environments to inject and remove the various faults. The proposed model and method can be used to analyze faulty system dynamically, and it will be a great help to make a system more reliable.

Model-based approaches can improve quality and reduce cycle time by simulating the models to perform early validation of requirements. These approaches can provide automated validation techniques by generating test cases from the model. This paper describes model-based automated test techniques in all phases of the product life cycle to maximize the early validation capabilities of model-based development processes. The paper proposes a model-based test process framework for all modeling phases including system modeling, architectural modeling and auto-generated software. The test automation technique consists of automatic test generation, execution and analysis. A Test Management System, which enables the automatic generation of requirement-based test cases, analysis of the test results and test database management, is developed through this study.

This paper presents the Matlab/Simulink-based Software-in-the-Loop Simulation (SILS) tool which is the co-simulator for temporal and functional simulations of control systems. The temporal behavior of a control system is mainly dependent on the implemented software and hardware such as the real-time operating system, target CPU and communication protocol. In this research, the SILS components with temporal attributes are specified as tasks, task executions, real-time schedulers, and real-time networks. Methods for realizing these components in graphical block representations are investigated with Matlab/Simulink, which is the most commonly used tool for designing and simulating control algorithms in control engineering. These components are modeled in graphical blocks of Matlab/Simulink.

This paper aims for a seamless development process for automotive body network system development with model-based approach. It also describes a generic software architecture that provides clear-boundaries between the software components and that can also act as a guide for each development phase. The CASE tool Statemate is used for feature behavioral modeling and verification. NodeAllocator builds the ECU models by mapping the behavioral model and physical network architecture. The virtual prototypes and the basic bus communication information are created and validated using software in loop simulation. The validated functional models are refined for implementation models and MicroC is used for application task code, OS design and software integration.

Since many electric and electronic systems are continuously added in a vehicle to meet various regulations and customer demands over the last decade, the demand on the electric power have been substantially increased. Furthermore the idle time fraction during the vehicle traveling has been increased due to the heavy urban traffic condition. The electric power system of the modern vehicle has to supply enough electrical energy to numerous electrical and electronic systems. A detailed understanding of the characteristics of the electric power system, electrical load demands, and driving environment such as road, season, and vehicle weight are required when the capacities of generator and battery are determined for a vehicle. In order to avoid an over or under design problem of the electric power system, a simulation program for electric power estimation is adequate.

The electric power system of a modern vehicle has to supply enough electrical energy to numerous electrical and electronic systems. The electric power system of a vehicle consists of two major components: a generator and a battery. A detailed understanding of the characteristics of the electric power system, electrical load demands, and the driving environment such as road, season, and vehicle weight are required when the capacities of the generator and the battery are to be determined for a vehicle. In order to avoid the over/under design problem of the electric power system, an easy-to-use and inexpensive simulation program may be needed. In this study, a vehicle electric power simulator is developed. The simulator can be utilized to determine the optimized capacities of generators and batteries appropriately. To improve the flexibility and easy usage of the simulation program, the program is organized in modular structures, and is run on a PC.

In order to evaluate vehicle powertrain performances and driver behaviors, a computer aided in-vehicle data acquisition system named MOde Survey System (MOSS) is newly developed in conjunction with a motor manufacturer. MOSS is designed to be used by personnel related to vehicle emissions and energy with the aim of being cost-effective and easy-to-use. Since driving behaviors and patterns influence powertrain performance in terms of fuel economy and emissions, engineers can utilize the system for understanding the driving pattern and traffic situation quantitatively. MOSS mainly consists of an MCU-based hardware and PC-based software. MOSS logs and analyzes various data related to vehicle driving. Compared to currently-existing Test and Measurement Systems, MOSS is designed and developed for a specific goal with several unique features.