The big data technology will for sure affects the development of new batteries and battery manufacturing in the very near future. The data of the performance of battery packs and even individual cells will be immediately essential for the fault finding in the repair process. However since the growing diversity of types of batteries performance feedback is also essential to improve future designs. Therefore data about driving conditions and consequential battery performance will be mined more and more and send to analyse and decision making centres for overall improvement.
Part of this need for analysis is the gathering of information about the conditions during the battery manufacturing. Additional to the driving conditions data, this information is also influencing the lifetime performance of the batteries. Both kinds of data will be combined as input for decision making models, which will be able to find new factors that improve the quality of cells and packs. Feedback loops from batteries just produced, but also those already in use, will immediately recommend adjustment of manufacturing settings to improve quality on the spot. In these circumstances the battery produced yesterday will support the better quality of the battery of today. The battery produced this morning will improve the quality of the battery produced in the afternoon.
To make that all possible the control and information systems which are directly connected to the equipment will need to be able to exchange information with the battery control systems. This is a rather new challenge for both automotive and equipment OEM’s. The competitive advantage however lays in the ability to make reliable and real time connections. The variables are endless regarding battery design, used production technologies, application forms in cells and packs and user specific demands based on usage. This will probably bring a customization of batteries and that needs high flexible manufacturing systems.