We also offer algorithm development for lead-acid batteries. While individual cell monitoring is generally irrelevant in this case, state detection is of paramount importance. Nowadays, numerous vehicles rely on sensors placed on the negative pole of their main battery to capture variables such as charge and aging state, as well as to guarantee the expected starting capability, load acceptance and performance. This information is needed to optimise the operating strategy.
Further to state detection, we also prepare or execute simulations for lead and Li-ion batteries. In this area, we distinguish between spatially-resolved models, which depict individual processes (such as diffusion) inside cells, and impedance-based models. In this option, we design a suitably equivalent circuit diagram of the battery, and program the same via measurement. We simulate thus the electrical behaviour of the cell or battery. What is more, we can also develop aging models, which help determine internal resistance increases and capacity reductions.