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Dual Cultch Transmission (DCT) system has advantage both manual transmission and automatic transmission. As requirement of developing the DCT system is increasing, it is getting important to implement efficient On-Board Diagnosis (OBD) logic system to detect malfunction in vehicle to satisfy California Code Regulation (CCR 1968.2). To satisfy the CCR 1968.2, monitoring for circuit continuity and circuit faults shall be conducted continuously to detect Short to Circuit Ground (SCG), short to Circuit Battery (SCB) and Open error. In this paper, diagnostic logic for two clutches (clutch 1 and 2) and select, shift motor will be introduced to implement Transmission Control Unit (TCU) in DCT system. There are two methods to detect motor u/v/w-lines error. One is by using Application Specific Integrated Circuit (ASIC) diagnosis result and the other one is by software algorithm.

This paper presents newly developed road resistance coefficient estimation control logic with G-sen(Gravity sensor) that is designed to optimize the gear shifting point for automatic transmission. The system consists of PCU(Power train Control Unit) which is controlling engine and transmission, and G-sen which possible to measure the real time road slope. Using longitudinal vehicle dynamic modeling with model based method; it is possible to estimate the real time road resistance coefficient and vehicle mass

Cruise control is one of the most critical issues that manufacturers concern about. But last many researches just focused on engine side control with general step transmission. Continuously Variable Transmissions (CVT) can cover a wide range of ratios continuously. This makes it possible to operate a combustion engine in more efficient working points than stepped transmission. With this merit, fuel optimal cruise control by CVT ratio control is possible with precise longitudinal dynamic model. Estimation of longitudinal load such as road slope and rolling resistance is essential for precise cruise control of automotive vehicle. In this paper, using model based road slope estimation method with gravity sensor, precise longitudinal dynamic model of automotive vehicle is presented. Real-time adaptive algorithm is also implemented for detecting external driving condition change and compensating bias of g-sensor.

Estimation of longitudinal load such as road slope and rolling resistance is essential for precise cruise control of automotive vehicle. In this paper, using model based road slope estimation method with gravity sensor, precise longitudinal dynamic model of automotive vehicle is presented for auto cruise control. The recursive least square method is implemented for parameter estimation and real-time bias adaptation of g-sensor. Continuously Variable Transmissions (CVT) can cover a wide range of ratios. This makes it possible to operate a combustion engine in more efficient working points than stepped transmission. With this merit, fuel optimal cruise control by CVT ratio control is possible using precise longitudinal dynamic model using model based road slope estimation. In this paper, for fuel optimal auto-cruise control of CVT, the CVT ratio controller is designed for spark ignited engine to tracked best optimal operation line and for vehicle to maintain constant vehicle speed.