One of the main issues in the actual automotive research, development and legislative discussion is the development of intelligent energy-efficient automotive drive trains. Hybrid powertrains use a combination of combustion engines and electric engines as one approach to fulfill the high demands for fuel-efficient and low emission vehicles. Besides the drive train component design including the operational mode management of the hybrid system in accordance with the driver's behavior plays a big role for the engineering of those vehicles. This paper is dealing with new control strategies and the usability of vehicle-internal status sensors and surround information sensors to predict the driving progress within a certain horizon. Those predicted driving data is utilized as input value for a model-predictive control algorithm that determines the optimal balance between the power torques of the combustion and electrical engines according to the current driving situation. As a result of the simulation conclusions on fuel efficiency and information on the required prediction range of the assistance systems are given.
Strategies for the control of hybrid propulsion systems
2008
12 Seiten, 6 Bilder, 1 Tabelle, 8 Quellen
Aufsatz (Konferenz)
Englisch
A Study of Control Strategies For Hybrid Vehicle Propulsion Systems Using Dynamic Simulation
British Library Conference Proceedings | 1997
|A study of control strategies for hybrid vehicle propulsion systems using dynamic simulation
Kraftfahrwesen | 1997
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