ASHWINI KOPPAD

• Have extensively worked on Functional safety HiL Validation of the Powertrain software for CPCNG, CPC3 & currently working for CDCC1.9 AMG
• I expertise in analyzing Technical Safety Requirements and derive test cases
• Been part of critical safety clearance assessments for the AMG-P3 Hybrid projects and other Mercedes cars for Functional safety.
• Have good understanding on the vehicle communication network, ECU functions and vehicle dynamics
• Have been part of Vehicle Testing trips in Immindingen test tracks in Germany to perform the Vehicle Reaction Tests.
• Used continuous testing toolchains and test management platforms.
• I have worked on creating test plans, developing test specifications based on requirements, scripting and validation on HiL.
• Managed multiple projects simultaneously while maintaining strict deadlines and high-quality standards.
• Proved successful working within tight deadlines and a fast-paced environment.

Worked on Neural Network Based Throttle Actuator Model
for Controller, aiming to replace the real Throttle in the HiL loadbox.

A robust non-linear learning based model is proposed.
The learning based model uses neural network which is
trained using input and output data across throttle actuator. Vehicle is driven in HiL according to WLTP cycle; in WLTP cycle, all different driving conditions are taken into account. The maximum absolute error between the NN based actuator model & real throttle including all the cases is found to be within 0.17 volt