Battery energy density | Deep insight 59 E-Mobility Engineering | May/June 2024 extracted is determined by the weakest cell in a module. Instead, we actively load every module, depending on its state of health (SoH) or state of charge (SoC), or other parameters. “Each module is interfaced to the other modules through our technology, so we can actively control the current flows in each module. What we would do is link six cells in series by a module board measuring the SoC and SoH to load each module,” he says. Brill Power has already deployed the technology in stationary storage, where the granularity is six cells. “There’s still work to be done in automotive to of the BrillOS software, the BrillCore module hardware and BrillAnalytics. “We are designing the control system, a battery intelligence platform, as it’s more than a BMS hardware, called BrillOS. This is chemistry and hardware agnostic as no one is clear what chemistry will play out in the future. “The third element is cloud-based analytics with battery insights, and in a perfect world this would update the platform over the air and continuously improve performance over the life of the vehicle, extracting the maximum energy from the pack.” “BrillCore uses a different way of controlling cells, modules or streams,” says Francesco Tardelli, principal engineer at Brill Power. “We have active loading, which is different from active balancing. We integrate a more granular control to remove the weakest link in the battery pack. You have several modules in series, but the energy that can be Three elements for boosting energy density (Image courtesy of Brill Power)
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