Online Identification of Power Required for Self-Sustainability of the Battery in Hybrid Electric Vehicles

Conference · Wed Jan 01 00:00:00 EST 2014

OSTI ID:1132953

Malikopoulos, Andreas ^[1]

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1. ORNL

Hybrid electric vehicles have shown great potential for enhancing fuel economy and reducing emissions. Deriving a power management control policy to distribute the power demanded by the driver optimally to the available subsystems (e.g., the internal combustion engine, motor, generator, and battery) has been a challenging control problem. One of the main aspects of the power management control algorithms is concerned with the self-sustainability of the electrical path, which must be guaranteed for the entire driving cycle. This paper considers the problem of identifying online the power required by the battery to maintain the state of charge within a range of the target value. An algorithm is presented that realizes how much power the engine needs to provide to the battery so that self-sustainability of the electrical path is maintained.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Transportation Research Center (NTRC)
• Sponsoring Organization: USDOE Laboratory Directed Research and Development (LDRD) Program
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 1132953
• Resource Relation: Conference: ASME 2014 Internal Combustion Engine Division Fall Technical Conference, Columbus, IN, IN, USA, 20141019, 20141022
• Country of Publication: United States
• Language: English

Related Subjects

model identification
hybrid electric vehicles
power management control
stochastic control
fuel economy