System Diagnosis and Fault Mitigation Strategies for an Automated Manual Transmission

Abstract

The introduction of hybrid vehicle architectures into the mass car market has dramatically increased fault detection and mitigation strategies seen in vehicles to match the growth in potential failures coming from increasingly complex powertrain architectures. To meet this increased demand for fault detection and mitigation of multiple powertrain components, advanced methodologies have been developed to determine the functional safety of systems. This paper focuses on the use of one of those advanced methodologies, structural analysis, to develop the design, implementation, diagnostics, and control of a prototype automated manual transmission. Structural analysis is the concept of analyzing the mathematical structure of a system to determine the diagnostic capabilities of sensors in the system. From this information, a controls strategy can be developed to address potential failure modes of a system utilizing the derived equations and knowledge of which sensors provide coverage for failure modes analyzed. Moreover, the need for additional sensors can be determined through this analysis. Using structural analysis, the Ohio State University EcoCAR 3 research team carried out a diagnostic and mitigation study during the development of their automated manual transmission.

A Study on the Anomaly Detection of Engine Clutch Engagement/Disengagement Using Machine Learning for Transmission Mounted Electric Drive Type Hybrid Electric Vehicles

“…Studies on fault or anomaly detection for vehicle powertrains have been carried out by various approaches. They can be classified by rule-based methods [6][7][8][9][10][11][12], mathematical 2 of 21 model-based methods [13][14][15][16][17][18][19][20][21][22][23][24][25][26], and data-driven methods that use signal processing or machine learning [27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43].…”

“…Pan proposed an internal short circuit fault detection method for lithium-ion battery cells using two current sensors with a symmetrical loop circuit topology [11]. In the case of using mathematical models, the method of using a linear mathematical model of a powertrain component, the method of estimating sensor values using state observers such as Extended Kalman Filters (EKF), Luenberger Observers [15,17,19], and the method based on structural analysis of the target system [18], etc., were proposed. Tabbache proposed a fault-tolerant control strategy for a speed sensor of an EV induction motor using the maximum likelihood voting technique [15].…”