AI Boosts All
Development Tasks
ntelligent algorithms have become essential to simulation
and data analytics thanks to their enormous potential to
accelerate processes, reduce costs and increase quality.
Surveys show that the time to market can be shortened by up
to tLree montLs, wLile analysis costs can Fe redYced Fy .
8est case creation can Fecome more eƾcient and tLe
use of AI in the in-use phase has the potential to save recall
costs running into the millions.
Improved Concept Development
AI helps to make faster and more precise design decisions in
concept development. Digital prototypes are enhanced with
neural networks, delivering precise solutions for the complex
physical relationships within the vehicle (see article on the
right).
Automated Requirement Management
Large language models are applied in Requirement
Management, in the form of fully-automated checks on
standards compliance and to uncover any inconsistencies.
Algorithms translate text requirements into executable code
that is used for software testing within test automation,
accelerating test creation and ensuring product quality.
Accelerated Testing Procedures
AI methods can monitor tests, identify anomalies, and detect
failures at an early stage. In the case of lengthy battery testing
in particular (cell aging tests, for example), AI models provide
significant time savings as tLey e\tract aging inJormation
from measurements and correlate this with the performance
parameters from the battery. This reduces the expense of time
spent on the testbed and accelerates further development.
Analysis of Usage Profiles
3n tLe road, %- sYTTorts tLe analysis oJ Ysage Trofiles.
8elematic systems Jor cYstomer ƽeets Lave tLe Totential
to deliver data of millions of vehicles. As it is not possible
to evalYate sYcL a ƽood oJ data manYally, %-Towered data
analytics helps to derive and optimize market and user-
sTecific reUYirements Jor soJtware, mecLanics, and dYraFility.
Reduced Warranty Costs
AI also takes failure prediction and vehicle self-monitoring to
a new level. Once a problem has been detected, it is possible
to Tredict tLe eJJect tLis will Lave on tLe entire veLicle ƽeet. %
trained AI model evaluates cars running smoothly on the road
to detect the risk of failures. This enables manufacturers to
avoid recalls and reduce warranty costs.
AI Expertise at AVL
AVL combines vehicle development experience with AI and
data expertise. We utilize AI models by training and integrating
them in OEM IT environments. Adjustable AI solutions for
batteries, ICE, HDž ICE, and fuel cells cover the entire lifecycle –
from concept to development and after sales. These solutions
can be used on-premise, in the cloud, or as Software-as-a-
Service (SaaS), supported by AVL Data Analytics™.
The use of artificial intelligence (AI) and generative AI is
spreading swiftly throughout the automotive industry.
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