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Automotive engineering is research-intensive and requires professionals to be educated and committed in their automotive engineering specialties.

AI, machine learning, human-machine interface, and IoT are some of the technological trends in automotive engineering. They strengthen the development and use of vehicles, including electric and driverless cars. Big data and analytics also help maintain and improve the safety of passengers and vehicles on the roads.

Some sector analysts go so far as to say there are more technological advancements in the automotive engineering arena now than ever before.

Take autonomous vehicle technology, which aims to minimize traffic accidents and to reduce energy consumption and air pollution. Autonomous vehicle technology interacts with other technologies, such as automotive electronics, human-machine interaction (HMI) systems, vehicle networks and automotive security.

Automotive engineering is also refining applications relating to big data and data analytics.

In the generation of big data, advanced data analytics notifies several decisions of a specific vehicle’s life cycle. Data collected from the vehicles qualify predictive maintenance, alert the authorities in cases of emergencies or accidents and notify the managers about the fleets.

With the help of predictive analysis, car manufacturers can take decisions on their annual sale purchase and target for production. Additionally, customer automotive data find the app to improve supply chains, driving more sales, increasing the upcoming new vehicles’ product design.

But even in the more mundane topics such as automotive engineering in noise, vibration and harshness (NVH) there have been major evolutionary breakthroughs through the introduction of new materials, applications and procedures.

Beside the industry leaders, Google, Tesla, Lucid and Apple also race for electric autonomous vehicle market share and are expected to bring new trends in automotive electronics, such as autonomous vehicle technology, human machine interaction, vehicle networks and automotive security, which will require an entirely different system architecture and development process than are pursued today for OEMs.

Want to learn more? Tonex offers a dozen courses in Automotive Engineering. These include:

Controller Area Network (CAN) Training, a 2-day course that covers the ISO 11898 standard of choice for automotive manufacturers and Vehicle Applications.

Functional Safety and Hazard Analysis Training, a 3-day course that covers overall safety and hazard analysis depending on a system or equipment operating correctly in response to its inputs.

ISO 26262 Training Automotive Safety, a 2-day course that helps attendees provide the requirements for ISO 26262 and be prepared for the release of ISO 26262.

Automotive System Design Training, a 3-day course aimed at a systems approach to problems around mobility and fuel efficient automotive systems, such as communication systems and electrical driving-focused systems.

Automotive Cybersecurity Training, a 3-day course where participants discuss fundamentals of embedded systems and applications of cybersecurity in vehicles to illustrate unique vulnerabilities that are commonly exploited.

For more information, questions, comments, contact us.

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