Summary
Overview
Work History
Education
Skills
Notable Projects
Accomplishments
Trainings
Patents & Publications
Timeline
Generic
Abhijith  Vijayan Nair

Abhijith Vijayan Nair

BMS Development Engineer
Graz

Summary

Dynamic BMS Development Engineer with 6+ years of experience in SoC, SoH, and SoP development using model-based design and machine learning. Skilled in MATLAB/Simulink, embedded systems, and battery modeling for EV applications.

Overview

6
6
years of professional experience

Work History

BMS Development Engineer

AVL List GmbH
07.2023 - Current
  • Development and calibration of Battery Core Functions(SOX, Balancing, Cell Anomaly etc)
  • Validated and optimized advanced SoC algorithm for LFP cells, later productized for multi-customer deployment.
  • Module Level Development(SoP), Unit testing and Software integration(SWE.4, SWE.5, SWE.6)
  • Development System and Software level requirements for BMS
  • Development of machine learning based State of Health Estimation

Senior Engineer

TATA Elxsi
02.2022 - 04.2023
  • BMS ASW development including SoX estimations along with MIL and SIL testing
  • Cell parameters estimation for Plant Modelling
  • BMS integration testing with BSW and ASW
  • Requirement elicitation of Test setup for EV parts (Battery pack, BMS, DC-DC, OBC, Traction inverter)

Product Lead

VoltUP
12.2020 - 01.2022
  • Designed BMS architecture and functional safety logic (DFMEA, ISO 26262 aligned) with partner teams
  • Developed SoX estimation models in Simulink and coordinated embedded integration for production BMS.
  • Created and deployed ML-based “Distance-to-Empty” model using live telemetry; integrated with customer-facing mobile apps
  • Contributed to multi-battery architecture modeling for swapping stations (2W/3W use cases)

Assistant Manager

Force Motors Limited
06.2019 - 12.2020
  • Led EV architecture modeling and component sizing for small commercial e-vehicle prototypes.
  • Developed EV charging strategy and support in EV fast charging protocol development (CHAdeMO)
  • Worked in electric vehicle system simulation for E-SCV application using Simulink.
  • Built PSoC-based telematics hardware protoype and analytics software for energy monitoring and predictive maintenance.

Education

M.Tech - Mechatroincs Engineering

Indian Institute of Technology (IIT) Patna
Patna, India
05-2019

B.Tech - Instrumentation & Control Engineering

NSS College of Engineering
Kerala, India
04-2016

Skills

  • Matlab & Simulink Modelling
  • Python
  • DOORS
  • Jira
  • Visual Studio
  • Embedded C Debugging
  • Battery SoX Estimation
  • Battery Modelling
  • Verification & Validation
  • Data Analytics & Machine Learning

Notable Projects

  • Optimization and Validation of NDC model for LFP chemistry, [AVL List GmbH] [Jul 2023 – Apr 2024]

      - Validation of developed NDC model with different cell BOL test data

      - Optimization and generalization of NDC model by developing a calibration script

      - Support in integration with existing core functions and accuracy validation

  • Development and Improvement of State of Power(SoP), [AVL List GmbH] [Jun 2024 – Ongoing]

      - Development of new features based on the system requirements for the improved SoP for new vehicles

      - Bug fixing and continuous improvement on existing SoP based on the System/Vehicle level testing finding

      - Writing software requirements and support in unit level testing

  • AI based State of Health(SoH) estimation [AVL List GmbH] [Mar 2025 – Ongoing]

      - Support in development of SoH Estimation for Cloud BMS using AI

      - Development of machine learning and neural network models for prediction

      - Dataset Preparation, Exploratory Data Analysis, Feature Engineering, Model selection and Validation

  • BMS ASW Development with MIL and SIL Testing, [Tata Elxsi] [Apr 2022 - Ongoing]

      - Model based development with unit level MIL and SIL testing in Matlab environment with code generation

      - Development and optimization of BMS SoX(SoC, SoE, SoH, SoP) algorithms with the help of SimScape plant model

      - Supporting in the ASW code integration with the BMS BSW

  • Distance to Empty Algorithm Dev for 2W and 3W, [VoltUp] [Feb 2021 - Apr 2021]

       - Developed ML-based range prediction using real-time BMS data and usage patterns using Python

       - Supported validation in the customer mobile application

  • Telematics Environment Development for e-Traveler, [Force Motors Limited] [Dec 2019 - Nov 2020]

      - Designed new telematics system architecture for data acquisition and analysis of Force e-Traveler for energy optimization.

      

Accomplishments

  • Nominated for best M. Tech Thesis award at IIT Patna in June 2019.
  • My team ASVA qualified to final phase and participated in Bosch Hackathon 2019 on Solve for Safer India happened in March 2019, IIT Guwahati.
  • Project titled Deception detection using EEG got selected under the top 30 projects in BIHAR IDEATHON and presented on December 3, 2018.
  • Secured first place in ENGINEERS CONCLAVE (Project Presentation) in CELESTA 2018 for my project ‘Deception and Drowsiness detection using EEG'.
  • Held the position PG Sports Secretary in Student Gymkhana of IIT Patna during 2018-2019.
  • Event Head of the technical event Make It Easy in National Tech-Fest GAMAYA-2k14 conducted in the college.
  • Technical Head of departmental tech-fest AGNI-2k16 held in January 2016.
  • Active Volunteer of NCC and B certificate holder.

Trainings

  • Successfully completed training on Simulink and Stateflow for Automotive Application provided by MathWorks on July 2022
  • Successfully completed training on Simulink Model Architecture, Code Generation and Simulation based Verification and Validation provided by MathWorks on July 2022
  • TÜV SÜD certified Qualified Electrician for HV Systems in Motor Vehicles on September 2019.
  • Successfully completed 3 days training on Electric and Hybrid Vehicle conducted by Devise Electronics on August 2019.
  • Attended two-week Summer School for Computer Vision and Machine Learning-Modern AI organized by IIIT Hyderabad on July 2018.
  • Completed 2-week Industrial training for understanding the Instrumentation and Control of an Iron Sponge plant in December 2014

Patents & Publications

  • Vijayan Nair Abhijith, Pallewar Pankaj GaneshRao, Kovacs Peter, Sivaraman Thyagesh et.alVerfahren zum Steuren oder Regeln eines Batteriemangementsystems,’ Austrian Patent Office, Application No.A50680/2024, Status: Filed, Aug 2024.
  • A. V. Nair, K. M. Kumar, and J. Mathew, ‘An Improved Approach for EEG Signal Classification using Autoencoder’, IEEE 8th International Symposium on Embedded Computing and System Design (ISED), Cochin, India, 2018, pp. 6-10.
  • Sahu, Tumesh; Chaudhary, Neeraj; Nair, Abhijith; Bandyopadhyay, Arkamita; Hembram, K.P.S.S.; Mathew, Jimson; Kaushik, Ajeet; Dash, Saroj; Kumar, Prashant, ‘2+ δ dimensional materials as noise quenching interfaces in electroencephalography’, ACS Nano Journal, (Under communication)
  • Anjaly K S, Abhijith V Nair, Liji K, Ajay Krishnan K V and Stino Sathyan, ‘Automation of Railway Signaling using PLC and SCADA,’ International Conference on Recent Advancements in Design Automation and Intelligent Systems (ICRADAIS), 2016.

Timeline

BMS Development Engineer

AVL List GmbH
07.2023 - Current

Senior Engineer

TATA Elxsi
02.2022 - 04.2023

Product Lead

VoltUP
12.2020 - 01.2022

Assistant Manager

Force Motors Limited
06.2019 - 12.2020

M.Tech - Mechatroincs Engineering

Indian Institute of Technology (IIT) Patna

B.Tech - Instrumentation & Control Engineering

NSS College of Engineering
Abhijith Vijayan NairBMS Development Engineer