Internship | Physics-Based Model Implementation on a Battery Management System
8 maanden geleden
About this position
Battery packs consist of many individual battery cells connected in series or parallel. To ensure proper functioning of all the individual cells, they are monitored by a Battery Management System. This consists of a read-out circuit, which does basic measurements like voltage, current and temperature, and a controller, which computes operational parameters such as the state-of-charge of the batteries. At the heart of the controller, a model of the batteries is used to estimate internal states based on measurable external parameters such as voltage and current or to make predictions about it behaviour in the near future.
What will be your role?
Currently, the applied model is typically empirical, meaning that it focusses on predicting output (voltage) based on input (current). While this model can effectively be used for some tasks, it is not suitable for monitoring or enforcing physical limits inside the cell. For this reason, Physics-Based Models (PBMs), which can simulate internal potentials and concentrations inside the cell including ageing reactions, have received significant attention in research and industry. Concrete applications of these models can be to govern fast charging by monitoring the anode potential or to provide power limits which prevent ageing. However, to unlock this potential, the PBM needs to be simulated on the BMS controller. Given that it’s computational footprint is significantly larger than empirical models, this is not trivial.
The goal of this internship is to explore the trade-off between model fidelity and computational load. You will model the PBM in Simulink and compile C-code which will run on an embedded BMS platform. The goal is to run the PBM with a footprint that is small enough to leave room for other algorithms while ensuring that its accuracy is sufficient for BMS tasks. The footprint can be influenced by exploring different well known simplified PBMs such as the single particle model.
What we expect from you
Assignment tasks:
Explore the various PBM simplification forms; Implement the PBM in Matlab/Simulink; Generate and run the code on the target platform; Explore the trade-off of model performance and computational load.
What you'll get in return
You want to work on the precursor of your career; a work placement gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Naturally, we provide suitable work placement compensation.
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Helmond, Noord-Brabant, Nederland TNO VoltijdAbout this PositionWe are seeking a highly skilled individual to join our team as an internship candidate, focusing on optimizing battery management systems through the application of physics-based modeling expertise. In this role, you will work closely with our research scientists to develop and implement advanced models that simulate the behavior of...
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