Abhijith Vijayan Nair

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.

• 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.

• 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.

• 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

• Vijayan Nair Abhijith, Pallewar Pankaj GaneshRao, Kovacs Peter, Sivaraman Thyagesh et.al ‘Verfahren 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.