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Research and development have been the main contributor to today’s breaking technologies. One striking example is the evolution of battery’s technologies. This has led to a myriad of advancements in terms of performance, applications, costs… Starz Electronics aims to be part of this evolution. And it does so, by allocating a good portion of its revenue to Research and development in the world of lithium-ion batteries. Starz lab is now fully functional. Its research spectrum covers the whole supply chain from Material, Electrode and Cell Manufacturing, up to Recycling. Starz takes pride in its lab as it counts among the first-ever Lithium-ion battery labs installed in the Northern-African area.
So far, Starz Lab has achieved great results and reached high levels of progress. A team of researcher grads has been the driving force behind this progress, with full support from our local university. They’ve been continuously leveraging their capacities to finesse different types of battery materials (NMC, LFP cathode active materials…). The team has also devoted a particular attention to the optimization of the assembly process with this goal in mind: improving both costs and performance.
In an ever-changing battery industry, our lab is constantly on the lookout for new trending technologies, be it solid-sate lithium batteries, sodium-based batteries and polymer-based batteries. Through our present and future research, we envision to contribute, even in the tiniest way possible, to the electrification of the transportation sector via cleaner battery technologies, thus building greener roads.
An R&D process involves the use of resources to transform test and trial performances (input) into output data. Throughout this process, every single data is retrievable and traceable thanks to our traceability system. Oftentimes, manual traceability turns out ineffective. Any error can impact the quality of our research. Therefore, our IT team was tasked to develop an in-house traceability software solution through which every input and result can be tracked down automatically. This implies an efficient usage of data regardless of its scale.