Predictive energy management of a 4QT series-parallel hybrid electric bus
Journal article, 2009

This paper presents a novel predictive control scheme for a Series-Parallel hybrid bus. The proposed scheme uses information from GPS together with a data record of the driving along the bus route to schedule the charging and discharging of the energy storage system. Switching between hybrid and pure electric mode are optimized in a receding horizon scheme based on a prediction model that reflects the uncertainty of the future driving. The benefits of the proposed predictive control scheme are shown by a simulation study on measured driving data along a bus route. The simulations show that the predictive control scheme achieves both lower fuel consumption and better control of the energy storage system than can be achieved with a non-predictive controller.

Dynamic Programming Model Predictive Control Hybrid Electric Vehicles Hybrid Powertrains Powertrain Control Energy Management Vehicle Telematics


Lars Johannesson

Chalmers, Signals and Systems, Systems and control

Stefan Pettersson

Bo Egardt

Chalmers, Signals and Systems, Systems and control

Control Engineering Practice

0967-0661 (ISSN)

Vol. 17 12 1367-1460

Subject Categories

Control Engineering

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