Canada Excellence Research Chair (CERC) in Hybrid Powertrain Program: Electric, Hybrid and Plug-in Hybrid Electric Vehicle Research

Atriya Biswas

Ph.D. Student

Short Biography

Atriya Biswas received his Bachelor’s Degree in Mechanical Engineering from Indian Institute of Engineering, Science & Technology (IIEST), Shibpur, India, in 2010. After his bachelor’s degree, he worked as a System Design Engineer at DCPL, India. At DCPL, his main responsibility was to develop specification of Boiler, Turbine and Generator for specific Power Plant capacity. He earned his M.Tech degree in Mechanical Engineering from Indian Institute of Technology (IIT), Kharagpur, India in 2014. From 2014 to 2017, he was employed at General Motors Technical Center, India as a senior engineer. His main responsibility in GM was to develop both low and high fidelity models of powertrain subsystems and to build algorithms for control integration between plant and controller. From 2014, he has been with Dr. Ali Emadi’s research team at the McMaster Automotive Resource Center (MARC), where he is pursuing his PhD. His research interests include design of smart and efficient Energy Management System for Hybrid Electric Vehicle and Plug-in Hybrid Electric Vehicle, accurate prediction of vehicle’s future speed profile.

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Every single person, sent to this earth by the God, has one specific task to accomplish throughout her/his lifetime. Each one of us should figure out the untold task assigned to us and disintegrate that into number of milestones. Determination and perseverance is the key to conquer obstacles and to reach one step ahead towards final destination. Standing at the middle of my life journey, Atriya can recall all his triumphs over the hindrances that he came across in his past. Since his childhood, Atriya always dreamt of building his own Formula One car. Spending copious afternoons of summer in his father’s carpentry workshop at the backyard, little “Atriyo” just managed to fabricate a feeble chassis for his dream project.

His passion for smart and automated mechanical system engendered while developing an algorithm for building a microcontroller-based unmanned railway level crossing gate in IIT Kharagpur. Starting from fabricating Infra-red sensors and flashing the code into the microcontroller, a mini railway cart as well as its track was built by him from scratch. He was awarded by Ministry of Human Resource Department, India, scholarship for higher studies in 2012 and joined in Indian Institute of Technology Kharagpur, India for Master program. His Master’s dissertation was on Dynamic Interaction between Railway Pantograph and the overhead catenary wire.

He got the opportunity to apply his engineering knowledge in the modeling subsystems of powertrain and also in developing smart algorithms to operate the plant models in efficient manner during his work experience in General Motors Technical Center, Bangalore, India. During his tenure with GM, he gained glimpse of knowledge about autonomous vehicle while leading a project on implementing Auto Start-Stop for Internal Combustion Engine. A rule-based control strategy, developed by him, observes the engine operating speed to enable or disable engine operation in positive or negative side of a predetermined threshold speed respectively.

Atriya has been with Dr. Ali Emadi’s research team at the McMaster Automotive Resource Center (MARC) since 2017 to pursue his PhD. His research interests include design of smart and efficient Energy Management System for Hybrid Electric Vehicle and Plug-in Hybrid Electric Vehicle, accurate prediction of vehicle’s future speed profile and optimal mode selection for power-split configuration of Hybrid Electric vehicle (HEV). All his research is aiming towards reducing the fuel consumption, tailpipe-emission and optimizing number of other objective functions of HEV or Plug-in HEV. Advanced control strategies can be applied to solve energy management problem. A diminutive percentage of improvement in fuel efficiency can give substantial benefits for long term. Real-time optimal control can bring about disruptive fuel economy value for HEV and Plug-in HEV.