Several industry-oriented and research-directed BMS projects are studying and developing in MPLab.
Various battery modeling techniques are developed and validated by experimental data, including the equivalent circuit models in both time and frequency domains. Besides cell-level modeling, the higher scales of the battery model are also investigated, e.g. module- and pack-level models.
Battery Fuel Gauge
Incorporation with the leading electric vehicle OEM, battery fuel gauge functionality (e.g. state-of-charge (SOC), state-of-health (SOH), etc.) is under development. Several advanced state estimation strategies are developed to predict the SOC and SOH of the battery cells with high accuracy. Battery aging models considering calendar and cycle aging mechanisms are identified by the long-term experimental results.
Power Electronics Design and Control for the Battery Balancing Application
An advanced active battery balancing is being investigated and validated in both hardware design and control perspectives. The integration of the hardware and control on each cell or a series of cells enables the modular design for active balancing strategies. It leads to the cost and space reductions, which potentially speed up the procedure of the adoption of the active balancing transferred from the passive counterpart.
Columbia University in the City of New York Department of Electrical Engineering
Motor Drives and Power Electronics Laboratory (MPLab)