Power Smoothing Energy Management and Its Application to a Series Hybrid Powertrain
| Autor: | Stefano Di Cairano, Ilya Kolmanovsky, Wei Liang, Anthony Mark Phillips, Ming L. Kuang |
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| Rok vydání: | 2013 |
| Předmět: |
Operating point
Engineering business.product_category Powertrain business.industry Energy management Automotive engineering Energy conservation Model predictive control Control and Systems Engineering Control theory Electric vehicle Fuel efficiency Electrical and Electronic Engineering Engine control unit business |
| Zdroj: | IEEE Transactions on Control Systems Technology. 21:2091-2103 |
| ISSN: | 1558-0865 1063-6536 |
| DOI: | 10.1109/tcst.2012.2218656 |
| Popis: | Energy management strategies in hybrid electric vehicles determine how much energy is produced/stored/used in each powertrain component. We propose an approach for energy management applied to a series hybrid electric vehicle that aims at improving the powertrain efficiency rather than the total fuel consumption. Since in the series configuration the engine is mechanically decoupled from the traction wheels, for a given power request the steady-state engine operating point is chosen to maximize the efficiency. A control algorithm regulates the transitions between different operating points by using the battery to smoothen the engine transients, thereby improving efficiency. Because of the constrained nature of the transient-smoothing problem, we implement the control algorithm by model predictive control. The control strategy feedback law is synthesized and integrated with the powertrain control software in the engine control unit. Simulations of the urban dynamometer driving schedule (UDDS) and US06 cycles using a complete vehicle system model and experimental tests of the UDDS cycle show improved fuel economy with respect to baseline strategies. |
| Databáze: | OpenAIRE |
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