With a footprint of close to 80-90 ECU’s in today’s automotive, and a multitude of trouble codes (often ambiguous), questions are being raised around the ability and effectiveness of traditional Diagnostic tools to accurately diagnose and detect the underlying cause of a given problem/defect
As add-ons, the sustained buzz and drive for electrification and autonomy of vehicles, coupled with modern engineering approaches such as feature-based architectures, virtual ECUs, etc. are lending an extra layer of complexity to the already complex diagnostics mix.
The pain-points and the business ramifications are obvious – High warranty costs based on No Fault Found (NFF) instances, Lower Fixed-First-Visit (FFV) rates, Lower technician productivity, High vehicle downtimes, and a cumulative negative bearing on customer satisfaction, retention and loyalty – With ‘misdiagnosis’ or the ‘lack of diagnosis’ clearly being the primary culprit.
A viable solution in sight, is to reduce the reliance on a technician’s decisions and to introduce the concept of intelligent, guided and pin-pointed diagnostics
KPIT’s Intelligent and Network based diagnostics solution (Trace2Fix) is an advanced diagnostics platform with proven effectiveness to disambiguate, diagnose with pin-point accuracy, and enable guided & optimum troubleshooting based on Artificial Intelligence (supervised learning), which sits at the heart of this solution