JAGUAR LAND ROVER
Location
Gaydon, Warwickshire | United Kingdom
Job description
REQ ID: 122641
JOB TITLE: BMS Algorithm Engineer
SALARY: Competitive
POSTING END DATE: 22/03/2024
LOCATION: Gaydon
We’re re-examining our vehicles and what a vehicle means in the emerging world of automation, connectedness, electrification and the shared economy. New ideas, new technology, and new approaches to mobility are our business. Join a team of next generation thinkers.WHAT TO EXPECT
Jaguar Land Rover are engineering inhouse battery management system for our next generation of electrified vehicles. Our team work on HV BMS system engineering and algorithm development. This is a rapidly growing area in which our in-house software is critical in enabling efficient battery performance & safety.
We are seeking a highly skilled and experienced Battery Management System (BMS) Algorithm Engineer who possesses in-depth knowledge of lithium-ion cell chemistry, along with expertise in algorithm development for functions like SoC, SoH, SoP and prognostics. In this role, you will be responsible for developing advanced cutting-edge algorithms to optimize the performance, safety, and lifespan of lithium-ion batteries.
In this role you will work with cell team & system engineering team to develop algorithms. You will also be interacting with software team to adapt algorithm designed into real time application.
Key Accountabilities and Responsibilities
Maintain existing algorithms and work on new algorithm development for SOC, SOH, SOP etc.
Strong skills in mathematical modelling of linear and nonlinear dynamical systems and distributed parameter systems
Develop simulation models and tools to evaluate such new algorithms
Stay updated on industry trends, advancements, and emerging technologies in battery management and lithium-ion cell technology
Troubleshoot and optimize existing algorithms for continuous improvement.
Optimization of estimation algorithms so that it can be implemented in resource constrained computing platforms
Undertake any other work as directed by their line manager in connection with their job as may be requested
Knowledge, Skills and Experience
Strong knowledge of developing solutions using control theories like Kalman filters, state observers and others
Experience in writing efficient codes to analyze large data sets
General understanding of Li-ion battery modelling
Expertise in data analysis, modelling, and algorithm development in MATLAB and/or Python
Strong understanding of battery chemistry and physics
Experienced in dynamic modelling, statistical and machine learning algorithm design
Familiarity with industry standards and regulations related to battery systems
Proven track record in developing and implementing complex algorithm
Proven ability to work on own initiative and prioritize workload items
Team player, able to work effectively over multiple teams and department to deliver effective solutions
Proven people and networking skills to bring out the best from others and bring in best practices
Advanced degree in Electrical Engineering, Computer Science, or a related field
SO WHY US?
Bring all this to the home of premium innovation, and you’ll find the opportunities to further your career with a world-class team, a discounted car purchase and lease scheme for you and your family, membership of a competitive pension plan and performance related bonus scheme. All this and more makes JLR the perfect place to continue your journey.
This role may offer the opportunity for hybrid working where you can split your time between working from home and in the office. At JLR, hybrid working is a voluntary, non-contractual arrangement providing employees with more choice and flexibility around how, when and where they work, if suitable for their role. Further details can be discussed with the Hiring Manager at interview stage.
JLR is committed to equal opportunity for all.
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