EV SANLAB Learning

Vehicle Diagnostics and Troubleshooting

Participants gain essential skills for diagnosing faults in electric and hybrid vehicles, focusing on methods for identifying, testing, and interpreting error codes to troubleshoot complex vehicle systems. Through systematic problem-solving approaches and measurement procedures, they learn reliable techniques for detecting and diagnosing issues, ensuring accurate vehicle maintenance and repair.

Interactive Scenarios >

Learning Objectives

Scenario prepares users for the essential processes involved in diagnosing faults in electric and hybrid vehicles. Focus is on understanding the methodologies for problem identification, measurement, and testing procedures, along with the interpretation of error codes. Participants will gain practical skills to effectively troubleshoot vehicle issues.

  • Understand the various methods for identifying faults in electric and hybrid vehicles, including observational techniques and systematic problem-solving approaches.

  • Develop proficiency in measurement and testing procedures to accurately assess vehicle systems, ensuring reliable diagnostics.

  • Learn to determine the sources of problems by analyzing data and error codes, enhancing decision-making skills in troubleshooting scenarios.
  • Strengthen diagnostic skills through practical exercises, building confidence in effectively resolving issues within electric and hybrid vehicles.

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About the Electric Vehicle Training Simulator

Main Learning Objective

Introduction to Vehicle Diagnostics and Troubleshooting

Participants will gain foundational skills in diagnosing faults in electric and hybrid vehicles, with a focus on methods like observation, testing, and problem identification. This scenario equips them with key techniques needed to troubleshoot complex vehicle systems.

Identifying and Analyzing Vehicle Issues

Through hands-on examples, participants will learn how to identify and analyze potential faults in electric and hybrid vehicles, developing the ability to pinpoint sources of problems effectively.

Understanding and Using Error Codes

Participants will enhance their understanding of diagnostic error codes, learning to interpret them to identify system malfunctions and guide the repair process.

Improving Diagnostic Testing Techniques

Practical testing procedures will be introduced, helping participants refine their skills in conducting measurements and tests to accurately determine the causes of vehicle issues.

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Download Scenario Catalogue

Other Scenarios

Autonomous and Advanced Driver Assistance Systems

Autonomous and Advanced Driver Assistance Systems

Scenario provides hands-on experience in adjusting and optimizing camera sensors, essential for driving safety and performance in ADAS technologies.

Vehicle Communication Systems module in electric vehicle training simulator, emphasizing EV communication technologies and diagnostics.

Vehicle Communication Technologies

Scenario helps users understand vehicle communication technologies and teaches CAN Bus measurement.

Training environment featuring a charging station and tool cabinets, designed for hands-on learning in electric vehicle technology.

DC Charging Station Assembly

Scenario is designed for use in a VR training module and aims to teach users the step-by-step process of assembling DC charging station.

AC Charging Station Assembly module in Electric vehicle training simulator, teaching EV charging station assembly steps.

AC Charging Station Assembly

Scenario is designed for use in a VR training module and aims to teach users the step-by-step process of assembling AC charging stations.

Check the Other Categories

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Training workspace featuring tool cabinets, an assembly table, and electric motor components, designed for hands-on technical education.

Electrical and Mechanical Assembly/Disassembly Procedures

Training environment featuring a charging station and tool cabinets, designed for hands-on learning in electric vehicle technology.

Charging Station Assembly/Disassembly Procedures

Theory Test module in electric vehicle training simulator, assessing knowledge of EV components and maintenance practices.

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