Engineering Engineer

LAL KRISHNA, 203-***-****

adb6bq@r.postjobfree.com

www.linkedin.com/in/lal-krishna

SUMMARY

Experienced Automotive Engineer exposed with different ADAS features along with safety systems, Autonomous vehicles, creating the control models, Engine Control Systems, CAN communications, SCRUM methodologies and different test cases in control logic

EDUCATION

Master of Science in Mechanical Engineering Jan2017-Dec2018

University of New Haven, West Haven, CT

Bachelor of Science in Mechanical Engineering Aug2012-April 2016

Vasireddy Venkatadri Institute of Technology (JNTU Kakinada), Guntur, AP, India

SKILLS

Woodward ECUs, Kvaser CAN cables, Raspberry pi, MATLAB, Simulink, MotoHawk (Model-based Design Tool), MotoTune (Calibration Tool), CanKing, HIL Systems, ANSYS, Agile SCRUM, ISO 26262 standards, C language, IoT, Telematics, Data Analytics using Power BI, Python, Robot Operating System(ROS), Linux Ubuntu, Open CV, Sensors (LiDAR, RADAR, SONAR, Camera vision),LabVIEW

CERTIFICATIONS

1. Automotive Functional Safety Control Systems using ISO 26262

2. IEEE Certificate of Completion-Autonomous Electric Vehicles

WORK EXPERIENCE

LHP ENGINEERING SOLUTIONS Dec 2019-present

Work on the Autonomous Vehicle and to solve the CAN interface problems

Send decision values from a computer (Jetson Xavier) to NI hardware/Motorola hardware

Work with LabVIEW and Simulink and create HIL testing and crate control strategies for HIL testing make sure to get data transferred to DC motor controller through CAN messages

Develop PI controller for different control strategies

Get different sensor data like LiDAR, RADAR and Camera sensors through ROS and make a CAN frames publisher

Read different sensors feedback from the AEV go kart in the CAN messages in ROS

PROFESSIONAL TRAINING (LHP ENGINEERING SOLUTIONS)

1.AUTONOMOUS ELECTRIC VEHICLE (AEV) Oct 2019

•Prepared statement of work (SOW)documentation for Autonomous electric vehicle (AEV) developed at LHPU and created SCRUM for 6 weeks

•Working with NVIDIA Jetson Nano TX2 to develop control codes for AEV Go-Kart using Python in ROS

•Developing controller interface program in Linux/OS using Python

•Implementation of steering and speed control based on the image tracking and depth

•sensing using ZED stereo camera in Robotic Operating System (ROS) environment

•Design and implementation of RADAR, LiDAR & SONAR (Ultrasonic sensor) on the Autonomous Vehicle

•Testing the system using SIL/MIL and HIL before implementing codes on actual vehicle

2. ENGINE CONTROLS FOR GASOLINE ENGINE March, April 2019

Development of a Control System for an Electronic Fuel Injector

Developed control system for electronic fuel injector using Simulink and MotoHawk blocks

Selected piston position and crank shaft RPM as simulation parameters

Calibrated control system using MotoTune calibration tool

Simulated control system for different engine speeds and tested on a fuel injector

HIL Test and Validation on 4-cylinder GM engine

Created model-based design in Simulink and attached a pre-constructed model code of engine simulation for HIL testing

Checked different stages of HIL testing stall check, dry crank, wet crank, dry run, wet run

Verified code on HIL bench before flashing on engine ECU and doing real-time validation

Adjusting the lambda sensor value near to 1 by calibrating different input values

Development of Minimum and Maximum Governor Control Models

Developed in Simulink minimum and maximum governor models for controlling engine speed

Calibrated and tuned engine using MotoTune calibration tool

Tested final control model on four-cylinder gasoline engine at different load conditions

Electronic Throttle Position Controller using Linear Potentiometer

Developed control model for electronic throttle controller using Simulink

Calibrated electronic throttle position and pedal position using MotoTune

Tested and validated controller while varying pedal position using MotoHawk

Distributed Control System for Electronic Throttle and CAN Communication

Developed feedback PI electronic throttle controller using Simulink and MotoHawk blocks

Calibrated control system using MotoTune calibration tool

Tested and validated controller using throttle valve

Learned about instabilities encountered in feedback PI control system and ways to eliminate them

Controlled remotely ETC using CAN Communication

Development of Gasoline Engine Speed Control System

Designed engine PID controller, plant model, and Engine Position Tracking (EPT) system for gasoline engine using MotoHawk, MotoTune, and Simulink

Developed state machine for stall, crank, run, and overload states and calibrated engine for different states

Executed gain scheduling and feed forward lookup table for lower response time and stabilized engine speed

ACADEMIC PROJECTS

Design of cable bracket September 2018

Analyzed Aerospace Cable Attachment Brackets in ANSYS Mechanical with different materials

Developed low weight highly efficient Brackett

Candle powered fan March 2016

Generated electricity to run small motor fan by thermocouple using heat energy generated by candle

Created cold junction and hot junction by adding aluminum heat fins to thermocouple slab

On-road Go-kart August 2014

Build an on-road Go-kart from scratch and participated in ISNEE (India Society of New Era Engineers) as a team lead to a group of 20

Approved clearance from bachelor’s college for funding to prepare Go-kart

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