Funded by the European Union – Next Generation EU
STAR7 was established in 2000 as the Italian branch of STAR Group for professional translations, a large company with more than a thousand employees distributed across our offices in Italy and worldwide; we support the creation and management of technical and commercial content in translation, in any language, in printing, in the creation of digital assets and virtual experiences, in product and process engineering. In collaboration with CIM, the company has launched a project concerning the prediction of voltage profile trends within automotive batteries using Artificial Intelligence.
An optimized BMS (Battery Management System) would reduce battery maintenance costs through integrated predictive software. By balancing cell charge, it would be able to better manage consumption, contributing to energy savings and increasing sustainability provided by propulsion systems and alternative energy charging sources. The active BMS primarily performs active cell balancing, integrating a passive cell protection system to prevent cell overload during charge/discharge cycles. The BMS design varies greatly depending on the type of application to which the battery is subjected, and the capacity of the battery pack is crucial. By integrating the BMS with a software component that uses Machine Learning, the collected information is analyzed and uploaded to the cloud, allowing for the detection of any anomalies through self-diagnostic functions. The flexibility and benefits provided by the developed system make it compatible with various applications beyond automotive batteries, thus opening doors to various industrial markets. In summary, the project includes:
– Use of AI for anomaly detection related to battery pack cells
– Construction of a business model containing elements impacting economic return
Through the development of an optimized BMS capable of performing efficient balancing and constant data collection, we can quantify the lifespan of today’s batteries in a range between eight and ten years, considering module repair to which the usage time of reconditioned modules is added. Subsequently, the batteries will be used in tools requiring lower power for at least another 10 years. At the end of their life, the battery will be dismantled and recycled, and rare elements will be used for the construction of new batteries. The new batteries created will be more efficient than today’s, thus closing the Circular Economy. It is hypothesized that with the materials useful for the construction of 30 batteries, at least 29 batteries can be built using the same raw materials.
Funded by the European Union – Next Generation EU
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