Automotive Engineering

INTELLIGENT SYSTEMS IN AUTOMOTIVE VEHICLES

General Data

Type of credits: ECTS
Number of credits: 7.00
Status: Mandatory
Type: Course
Academic Year:
Term:
Languages: English, Portuguese
Available for Mobility Students: No
Restricted to alliance: No
Code: Sin codigo

Coordination

Description

Theory
1

Laboratory
3

Instructors

José Jorge Valentim


 

Contents

1. Advanced Driver Assystance Systems [25%]
ADAS definition. Autonomous driving levels. Legislation for autonomous driving. ADAS sensors and calibration. ADAS systems evolution. Mains ADAS systems. Diagnosis.

2. Automatic transmissons [25%]
Classification of automatic transmissions. Torque converter. Brakes and clutchs. Hydraulic circuit. Power flow. Diagnosis.

3. Crash retrieval data [25%]
Event data recorder. Vehicle control history. Real cases analisys.Legal.

4. Scopemeter use in automotive diagnosis [25%]
Signalview. Timebase.Voltage range.Coupling. Channel selection. Start and stop. Triggering. Saving data. Number of samples. Measurements. Using rulers. Automatic measurements. Channel options. Probes. Low pass filtering.
Math channels. Serial decoding. Alarms. Diagnosis with scopemeter.

Learning Outcomes

Mains goals are aquisition of technical competencies that allow students understand and troubleshooting different systems;

OB1 - Provide students with in-depth knowledge in the analysis of advanced driver assistance systems and their diagnosis;

OB2 - Knowledge of automatic transmission way of working and diagnosis;

OB3 - Crash retrieval data and analisys;

OB4 - Scopemeter use in automotive diagnosis;