Motor vehicles – Power – Electric
Reexamination Certificate
2008-04-22
2008-04-22
Vanaman, Frank (Department: 3618)
Motor vehicles
Power
Electric
C701S048000, C903S945000
Reexamination Certificate
active
10864670
ABSTRACT:
A predictive energy management system for a hybrid vehicle that uses certain vehicle information, such as present location, time, 3-D maps and driving history, to determine engine and motor power commands. The system forecasts a driving cycle profile and calculates a driver power demand for a series of N samples based on a predetermined length of time, adaptive learning, etc. The system generates the optimal engine and motor power commands for each N sample based on the minimization of a cost function under constraint equations. The constraint equations may include a battery charge power limit, a battery discharge power limit, whether the battery state of charge is less than a predetermined maximum value, whether the battery state of charge is greater than a predetermined minimum value, motor power output and engine performance. The system defines the cost function as the sum of the total weighted predicted fuel consumed for each sample. The system then selects the motor and engine power commands for the current sample.
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Chang Man-Feng
Chen Jyh-Shin
Salman Mutasim A.
General Motors Corporation
Vanaman Frank
LandOfFree
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