摘要：AbstractVehicle performance, including battery charge sustaining operation and engine fuel economy improvement, is dependent on how its powertrain controller is tuned for different road loads, which is hard to predict. However, if historical data is analyzed and used to fine tune the energy management strategy coefficients, vehicle powertrain performance can be enhanced. This paper presents a retrospective performance-based powertrain controller which is dependent on a conflicting cost function. The cost function depends on a charge sustaining operation of the onboard battery and engine fuel consumption. The proposed Retrospective Cost Adaptive Controller (RCAC) has been designed for a parallel HEV, which improves powertrain performance based on its historical performance. The numerical simulation results demonstrate that the powertrain controller coefficients are re-calibrated to improve powertrain performance. It is also shown that the once the RCAC learns the driving styles, the powertrain performance is comparable to benchmark results generated using Dynamics Programming.
关键词：KeywordsPowertrain controlEnergy management systemRetrospective cost adaptive control
