Diagnostic and self-repair techniques for more efficient batteries

The popularization of Li ion technology, the development of electric mobility and the meteoric growth in the number of connected objects make batteries a key element of our society, the equivalent of the heart for our human body. By analogy with medicine, we'll need to develop technical solutions for real-time SOH (state of health) monitoring, so that we can intervene in the event of malfunctions. This will also enable us to ensure reliable traceability of batteries, so that we can ultimately give them a second life, i.e. use them for network applications after they have been used for electric vehicles. Given the stakes involved, we need to add value to the battery by introducing miniaturized sensors capable of transmitting and receiving information, so that the accumulator is no longer a black box, and we can know its SOH. A negative diagnosis will require treatment and, consequently, the implementation of self-repair systems. These issues are far removed from current research projects around the world, but are extremely important for the future of Li ion batteries. This new "diagnosis/repair" axis for Li ion batteries will be the subject of the 2021 lecture. These lectures will be followed by seminars covering the history of batteries, as well as imaging, sequencing and optical sensor techniques.