Predictive energy management of a 4QT series-parallel hybrid electric bus
Artikel i vetenskaplig tidskrift, 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