Lead BMS Engineer: Drive Next-Gen Battery Control

EVera Recruitment; Brackley; On-site; GBP 65,000 - 95,000; Full time

Job summary

EVera Recruitment is seeking a Lead BMS Engineer to drive development of battery management system algorithms from concept to production. You will work across battery systems, software and validation teams to deliver high-performance energy storage solutions.

The role focuses on SOC/SOH/SOP/SOX estimation, calibration, validation and cross-functional collaboration with embedded platforms and software teams to ensure seamless integration of algorithms.

Qualifications

• Degree in Electrical/Controls Engineering or related
• Experience developing BMS algorithms and state estimation
• Strong understanding of SOC/SOH/SOP/SOX methodologies
• Knowledge of battery modelling and lithium-ion cells
• Experience with MATLAB/Simulink and model-based development
• Strong analytical and cross-disciplinary collaboration skills

Responsibilities

• Develop and implement BMS algorithms for SOC, SOH, SOP and SOX
• Design, calibrate and validate battery control strategies across chemistries
• Create mathematical models and estimation techniques including ECMs and Kalman filters
• Analyse cell and pack data to improve model accuracy and algorithm performance
• Define calibration methodologies and support system integration
• Collaborate with software teams to integrate algorithms into embedded platforms

Skills

Analytical thinking

Cross-functional collaboration

Problem solving

Education

Bachelor's in Electrical/Controls Engineering

Tools

MATLAB/Simulink

Kalman filtering

Model-based development

Job description

The Lead BMS Engineer will play a key role in the development of battery management system algorithms, supporting the design, calibration and validation of advanced battery control strategies. Working across battery systems, software and validation teams, you will contribute to the delivery of high-performance battery solutions from concept through to production.

The Lead BMS Engineer will be responsible for:

• Developing and implementing BMS algorithms for State of Charge (SOC), State of Health (SOH), State of Power (SOP) and broader SOX estimation functions.
• Designing, calibrating and validating battery control strategies across different cell chemistries and applications.
• Creating mathematical models and estimation techniques, including equivalent circuit models and Kalman filtering approaches.
• Analysing cell and pack test data to improve model accuracy and algorithm performance.
• Defining calibration methodologies and supporting system integration activities.
• Collaborating with software teams to integrate algorithms into embedded BMS platforms.

The Lead BMS Engineer will have:

• A degree in Electrical Engineering, Electronic Engineering, Controls Engineering, Mathematics, Physics or a related discipline.
• Experience developing BMS algorithms and battery state estimation techniques.
• Strong understanding of SOC, SOH, SOP and SOX methodologies.
• Knowledge of battery modelling and lithium-ion cell behaviour.
• Experience using MATLAB/Simulink and model-based development approaches.
• Strong analytical, data-processing and problem-solving skills.
• Excellent communication skills and the ability to work across multidisciplinary teams.

This role is suited to an engineer who enjoys combining battery science, controls and data analysis to develop advanced energy storage solutions. If you're looking to contribute to the next generation of battery technology, apply with your up-to-date CV and we will be in touch!