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Lead - cell modelling
4 weeks ago
ABOUT AGRATAS 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 . JOB SUMMARY The role requires a comprehensive understanding of the organization, particularly the connections between R&D functions such as pack design, pack engineering, process engineering, and manufacturing. The individual will facilitate cross-functional collaboration to drive innovation and ensure commercial success. This position involves solving complex problems at the forefront of science and technology, requiring creative problem-solving and the ability to navigate uncertainty. Key challenges include overcoming limitations in infrastructure, coordinating multiple research streams, and aligning R&D initiatives with broader organizational objectives. A crucial aspect of the role is providing valuable insights and support through simulations, aiding cell development and process/product engineering teams. The position emphasizes a data-driven approach to achieve cost-efficiency and process optimization, ultimately leading to a significant business impact. RESPONSIBILITIES Develop aging model of lithium ion cells by empirical and/or physics-based models. Calibrate the aging model by design of experiments and validate the aging model by lab tests and/or field data. Apply aging model to predict battery lifetime and/or warranty for different operating conditions. Develop electrochemical model of lithium ion cells to predict voltage response with a robustness to cover different operating conditions of temperature, state of charge, and current. Develop physics-based and/or electrochemical model of lithium ion cells to predict cell performance dependence on various cell designs and manufacturing variables such as coating thickness, material composition, coating processing. Apply the models to optimize cell design and manufacturing process. Knowledge, Skills and Experience At least 3+ years of industrial experience in battery modelling. Experience in electrochemical modelling tools such as COMSOL, Battery Design Studio, Auto Lion, or other software tools in Matlab/Simulink, Python Passionate about problem solving and innovation. Excellent communication and writing skills De sired Experience in BMS algorithm such as SOP, SOC, SOH Experience in 3 D CFD battery thermal modelling. Experience in AI applications in design and manufacturing Role Specific Qualifications/Certif i cations Ph D with 3+ years of industrial experience or Masters with 5+ years of industrial experience in Electrochemistry, Chemical Engineering, Mechanical Engineering, or Materials Science. Deep understanding of cell degradation mechanisms and failure modes Deep understanding of cell electrochemistry of lithium ion cells
