SUEZ WTS/GE Water

May 2019 - July 2022

My work experience at SUEZ WTS (or GE Water until Dec 2019) was 3 years and 2 months. I was part of their R \& D team, where we were developing digital products for applications in the water treatment industry. A broad overview of the projects handled at SUEZ WTS are below

  • Developed a first principles based mathematical tool for monitoring and predicting the performance and degradation of a steam surface condensers in industrial steam power plants
  • Developed a simulation platform for modeling and simulation ion exchange units for water treatment processes
  • Developed a data driven analytics tool for predicting and monitoring the performance of process gas compressors in ethylene manufacturing plants
  • Developed Bayesian forecastering methods for monitoring and predicting the chemical storage tank levels

BattGenie

July 2018 - April 2019

I worked in their research team for close to 1 year. I was primarily respeonsible to developing closed-loop control algorithms that integrates a detailed physics based battery model (P2D model). This work was later published in the journal of Electrochemical society. My contributions are listed below

  • Developed nonlinear model predictive control (NMPC) strategies, as a part of battery management systems (BMS), for deriving optimal fast charging protocols for lithium-ion batteries, using a detailed psuedo two dimensional (P2D) model
  • Developed health-conscious NMPC charging profiles for lithium-ion batteries by restricting the anodic side reaction over-potential and cell voltage of a lithium-ion battery
  • Worked in collaboration with the software and hardware development teams for implementing these control strategies on embedded platforms such as STM32, Raspberry Pi, Beagle Bone etc.,