FPGA based model predictive controller for dynamic power management of a battery powered electric car

Any battery powered electric vehicle is a safety critical system due to very high probability of untimed power failure. In this work a model predictive controller has been implemented in Field Programmable Gate Array (FPGA) for safe state generation by enhancing the runtime of electric car based on predicted battery state of charge. Initially an area and time efficient Coulomb counting technique has been implemented in FPGA. Subsequently a proactive load controller has been developed using FPGA from predicted State of Charge (SOC). The controller proactively optimizes the constrained battery energy by varying the power delivered to the noncritical loads and supports critical loads as per demand. The paper validates the proposed mechanism by experimental results.