BMS Algorithm Engineer

Agratas – A Tata Enterprise; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Agratas – A Tata Enterprise seeks a talented engineer to develop and optimize battery state estimation algorithms (SOP, SOC, SOH, SOE) and early detection of battery failure for safety and compliance. You will design lab tests (HIL/MIL/SIL) to calibrate algorithms and collaborate with cell, pack, quality and manufacturing teams to define data requirements.

You should have a BS in Electrical/Mechanical/CS or equivalent, 3+ years in BMS software, and a Master or PhD.

Qualifications

• BS in Electrical, Mechanical, CS or equivalent.
• Minimum 3 years in BMS software.
• Master's degree or PhD.

Responsibilities

• Develop and optimize battery state estimation algorithms (SOP, SOC, SOH, SOE).
• Develop and optimize early detection of battery failure for safety compliance.
• Design lab tests, HIL/MIL/SIL to calibrate and validate algorithms.
• Collaborate with cell, pack, quality and manufacturing teams to define data requirements.
• Support resolution of customer issues related to BMS.
• Review literature and attend conferences to stay current with battery control tech.

Skills

MATLAB/Simulink

BMS software

Self-starter

Education

BS in Electrical/Mechanical/CS

Master or PhD

Tools

ECM models

P2D models

Job description

Agratas is a wholly owned subsidiary of Tata Sons. We design, develop and manufacture high-quality, high-performance, sustainable batteries applied to multiple use cases in the mobility and energy sectors, to match our customers’ requirements. Agratas is a scale-up business with a start-up mentality, driven by our pursuit of green growth and technological progress. We develop next-generation battery technologies at our state-of-the-art R&D Innovation Hubs in India and the UK.

About the Role

Develop and optimize battery state of estimation algorithms of SOP, SOC, SOH, SOE. Develop and optimize algorithm of early detection of battery failure to ensure compliance with safety requirements and government regulations. Design lab tests, HIL/MIL/SIL to calibrate and validate the algorithms. Continuously improve and keep innovating the algorithms. Cross-team collaborate with cell team, pack team, quality team, manufacturing team to define data collections and requirements. Support resolution of customer issues related to BMS. Review academic literature and attend conference to remain current with new battery control technology.

Responsibilities

• Develop and optimize battery state of estimation algorithms of SOP, SOC, SOH, SOE
• Develop and optimize algorithm of early detection of battery failure to ensure compliance with safety requirements and government regulations
• Design lab tests, HIL/MIL/SIL to calibrate and validate the algorithms
• Continuously improve and keep innovating the algorithms
• Cross-team collaborate with cell team, pack team, quality team, manufacturing team to define data collections and requirements
• Support resolution of customer issues related to BMS
• Review academic literature and attend conference to remain current with new battery control technology

Qualifications

• BS in Engineering of Electrical, Mechanical, Computer Science or equivalent
• Minimum 3 years of experience with proven technical and professional skills in battery management system (BMS) software development
• Master or PHD

Required Skills

• Mastery of MATLAB/Simulink and other software and control algorithm development tools
• Experience in battery plant modelling such as ECM and P2D models
• Self-starter and multi-task oriented in fast paced environment

Preferred Skills

• Knowledge of BMS architecture and hardware/firmware
• Good understanding of automotive functional safety standards like ISO 26262
• Experience in ML/AI optimization techniques