Title :
FPGA based model predictive controller for dynamic power management of a battery powered electric car
Author :
Babu, Dennis ; Kumar, Ajit ; Roychowdhury, Jaijeet
Author_Institution :
Embedded Syst. Lab., CSIR- Central Mech. Eng. Res. Inst., Durgapur, India
Abstract :
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.
Keywords :
battery management systems; battery powered vehicles; field programmable gate arrays; predictive control; Coulomb counting technique; FPGA based model predictive controller; battery powered electric car; battery powered electric vehicle; constrained battery energy; dynamic power management; field programmable gate array; noncritical loads; proactive load controller; safe state generation; safety critical system; untimed power failure; Batteries; DC motors; Field programmable gate arrays; Logic gates; Noise; System-on-a-chip; Vehicle dynamics; Coulomb Counting; Field Programmable Gate Array; Noise Filtering; State of Charge;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on
Conference_Location :
Kochi
Print_ISBN :
978-1-4673-5117-1
DOI :
10.1109/ISDA.2012.6416565