Success story
Partnered with a leading passenger car OEM to re-imagine their diagnostic data authoring and
management approach
In typical OEM set-ups, diagnostics requirement data is managed in proprietary data formats, and is used across OEM departments, in addition to Tier X suppliers & tool vendors.
Ideally, a development process needs to ensure data transparency, uniformity, and re-use. However, the lack of
a standardized, integrated & an automated diagnostic approach results in development silos and
disparate tooling/data systems.
The Engineering diagnostics toolchain from KPIT provides the answer. The toolchain has been at the core of addressing these challenges & transforming the diagnostic development landscape at leading automotive/industrial equipment OEM.
Database Designer
ECU-Editor
Authoring Suite
Engineering-Tester
ECU-Validator
It caters to all diagnostic engineering use-cases across the OEM vehicle development process, and enables system, component, and function engineers to seamlessly execute activities, including
Diagnostic requirements development
ECU-Diagnosedatenerstellung
Developing test sequences for ECU validation
Executing ECU sequence and conformance tests
A cloud-based enterprise integration platform joins all the engineering functions together, connecting the dots from requirements sign-off through to automated compliance gateways; automating data flow and eliminating legacy processes (such as manual file handling).
Integrated dashboards provide up-to-the-minute insight into development maturity and place our customers
firmly in control of their diagnostic artifact delivery.
An integrated & an automated approach for diagnostic data design, data creation /management and ECU validation
Enables left-shifting of testing & verification
Drives data uniformity, transparency, and re-use across the ecosystem
Uniquely positioned to support OEM, as they face diagnostic complexities arising from their Electrification and Autonomous programs
Partnered with a leading passenger car OEM to re-imagine their diagnostic data authoring and
management approach
