Clearly, the realm of automotive engineering is changing.
Some sector analysts go so far as to say there are more technological advancements in the automotive engineering arena now than ever before.
One study shows that up to 15% of new cars sold in 2030 could be fully autonomous. Additionally, advanced driver-assistance systems (ADAS) are expected to play a crucial role in preparing regulators, consumers, and corporations for the medium-term reality of cars taking over control from drivers.
Autonomous driving technology has come a long way. In recent years, the automotive tech industry has made significant enhancements to the capability and reliability of sensors, cameras, and vehicle-to-everything (V2X) communication, driving road transport toward higher levels on the autonomous driving spectrum, as defined by the SAE’s Levels of Driving Automation.
For the past several years, industry players have been working to make the jump from L2 to L3.
The number of electric cars in the U.S. has also surged over the past three years. In fact, the percentage of electric cars tripled in 2022. According to Experian, there are now 1.7 million electric cars in operation in the USA. Companies manufactured approximately 442,000 electric vehicles in 2022 alone.
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.
Additionally, today in the realm of automotive engineering, developing new cars mostly takes place in a virtual environment. The Digital Enterprise solution portfolio also helps to create the digital twin of the product which then enables realistic simulations to optimize the car before it’s being built.
The digital twin of product comprises the entire car, its software, mechanics, electrics, and physical behavior. This allows to simulate and validate each step of the development in order to identify problems and possible failures before producing real parts. This goes for e-cars as well as for conventional cars, thanks to the Digital Enterprise portfolio.
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.