Summary
Overview
Work History
Education
Skills
Additional Information
Timeline
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Kishan Ankapa Gopi

Kishan Ankapa Gopi

HIL Engineer
Ulm

Summary

Dynamic Automotive Engineer with a strong foundation in testing and test system development, driving efficiency and innovation in automotive projects. Proficient in MATLAB Simulink, dSPACE, and Vector tools, with a track record of delivering high-quality solutions for advanced vehicle systems.


Overview

6
6
years of professional experience
2
2
Languages

Work History

HIL Engineer

Ferchau Gmbh - IVECO Trucks (Client)
09.2024 - Current
  • Designed and implemented the IVECO Virtual Truck (IVT) in MATLAB/Simulink and dSPACE, creating a unified HIL model architecture hosting 15+ ECUs like Vehicle Control Unit and for multiple truck variants, reducing duplication and ensuring scalability— "One Model for All HILs”.
  • Implemented a virtual vehicle for heavy-duty trucks using Simulink Vehicle Composer, deployed on dSPACE Scalexio, increasing IVT simulation capability by 75% and reduce cost by 50%.
  • Configured a dSPACE HIL for BCM with 45+ vehicle functions, 500+ I/Os, and 5+ CAN/CAN FD channels using ControlDesk and ConfigurationDesk, delivered in 2 months with a team of 4, following Agile methodology to enable testing for each functionality release.
  • Developed a second dSPACE HIL setup for the Infotainment ECU with 96+ vehicle functions, 20+ I/Os, and 3+ CAN/CAN FD channels, completed in 45 days with a team of 2.

Graduate Student Researcher

HAN Automotive Research
02.2023 - 09.2023
  • Developed an ISO 26262-compliant method for deriving sensor requirements for innovative safety layers in low-speed autonomous vehicles, leading to the first published research in this domain.
  • Assessed safety-critical scenarios from HARA and identified surround sensing sensor solutions (Lidar, Radar and Ultrasonic) that enhanced reliability and resulted in a remarkable 10-fold cost reduction.
  • Researched virtual sensor models in Siemens PreScan and selected the optimal model for testing activities, resulting in a 30% improvement in testing time yet maintaining sensor efficiency.
  • Devised and implemented a KPI-based validation method for the virtual LiDAR sensor model in Siemens PreScan, conducting real-world field tests with Velodyne VLP-16 to define the simulation-to-reality gap, resulting in a 50% cost reduction.
  • Fostered collaboration among diverse teams and functional safety experts, leading to a 95% consensus from a group of 50+ automotive professionals in support of this solution.

System Engineer

Blue Binaries Engineering and Solution Pvt Ltd
01.2019 - 12.2021
  • Project 1: Development of HIL (Hardware in the Loop) system for testing tele-driving functionalities- Client - Vay Technologies Gmbh - Germany.
  • Developed a Vector HIL test bench to verify and validate tele-driving functionalities, resulting in a 30% increase in testing efficiency and accuracy.
  • Designed and executed realistic testing plans, and created test cases for safety-critical functionalities such as steering, braking, and acceleration as per the requirements (JAMA), achieved a 95% approval rate with minimal revision.
  • Created complex plant models in Vector Canoe using CAPL and seamlessly integrated rest bus simulations.
  • Designed automation scripts using python for generating test packages in the TraceTronic ECU TEST automation tool, ensuring on-time delivery with 0 bugs.
  • Successfully delivered the test bench and executed testing plans within the established project timeline, fostering strong relationships with stakeholders and ensuring on-time project completion.
  • Project 2: Testcase Automation of advanced park assist(APA) functionality in dSPACE ASM. Spearheaded the automated creation of maneuver's and road files in dSPACE ModelDesk in alignment with requirements and NHTSA/EuroNcap standards for APA, achieving a 100% compliance rate.
  • Creating test cases and maneuver's using dSPACE ModelDesk, MotionDesk, and automated with AutomationDesk and Python with data model APIs, resulting in a 40% reduction in testing time, and seamlessly integrated them with the user-friendly GUI with 0 bugs.
  • Project 3: Automating test cases of ADAS functionalities in IPG Carmaker using ECU-TEST.
  • Engineered automation scripts in Python to efficiently generate maneuver's in IPG Carmaker for ADAS functionalities like ACC, AEB and FCW, reducing manual effort by 60%.
  • Successfully developed, executed testcases, and generated reports for over 5000+ test cases using the automation tool, ECU-TEST, ensuring a 95% pass rate

Education

Master of Science - Automotive Systems

HAN University of Applied Sciences
Arnhem, Netherlands
04.2001 -

Bachelors in Technology - Mechatronics

SRM Institute of Science And Technology
Chennai, India
04.2001 -

Skills

Vector CANOE

Additional Information

Technical Blogs in Linkedin :


  • Challenges of Virtual Testing in Automated Driving Systems (ADS).
  • Method to Derive Sensor Requirements for Sensor Selection: Surround Sensing.
  • Radar Sensor: Advantages, Challenges, and Technological Solutions.
  • Virtual Sensor Models in ADAS/AD: A Quick Guide

Timeline

HIL Engineer

Ferchau Gmbh - IVECO Trucks (Client)
09.2024 - Current

Graduate Student Researcher

HAN Automotive Research
02.2023 - 09.2023

System Engineer

Blue Binaries Engineering and Solution Pvt Ltd
01.2019 - 12.2021

Master of Science - Automotive Systems

HAN University of Applied Sciences
04.2001 -

Bachelors in Technology - Mechatronics

SRM Institute of Science And Technology
04.2001 -

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