Jayabrata Maity

Pursuing PhD (Electric Vehicle Battery Health Diagnosis)

Talent

PuneMember since 28 May 2026

SOH/RUL EstimationMATLABPython

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SOH/RUL EstimationMATLABPython

About

PhD researcher specializing in electric vehicle battery health diagnostics, with expertise in SOH/RUL estimation, physics-informed machine learning, and battery experimentation. Experienced in working with large-scale battery datasets and developing industry-relevant diagnostic models. Seeking an R&D role to translate research experience into practical EV battery solutions.

Experience

PhD Researcher - National Institute of Technology Silchar - Assam, INDIA

(2021)

PhD researcher specializing in electric vehicle battery health diagnostics with focus on SOH/RUL estimation, physics-informed machine learning, and battery experimentation.

Developed improved mathematical model for onboard SOH estimation of EV batteries using conventional fast charging data.
Identified novel health indicator to estimate battery SOH from partial driving data of approximately 20 minutes.
Developed multiple methodologies for onboard SOH estimation using low frequency standard BMS data.
Developed Physics-Informed Neural Network for RUL prediction
Developed Incremetal Capacity based model for health prognosis.
Designed battery aging experiments: CCCV, RPT, HPPC, SOC-OCV, Drive Cycle Discharge etc.
Operated battery cyclers (Bitrode) and performed EIS workstation.
Designed and developed hardware circuit to inject external perturbation signal for battery health diagnostics.
Designed customized battery modules and pack for e-cycle.
Developed ESP32-based data logging system for e-cycle and electric three wheeler application.
Developed prototype of a handheld battery diagnostic device "Smart Onboard Battery Health Analyzer (SOBHA)", seamlessly integrable with existing EV architecture via OBD port.

Assistant Professor - Engineering College

(2012 - 2021)