Real-Time Model Predictive Powertrain Control for a Connected Plug-In Hybrid Electric Vehicle

Real-Time Predictive Control of Connected Vehicle Powertrains for Improved Energy Efficiency

“…Outlined in Table 4-2, this testing showed that use of the IPPC resulted in an average savings of 5% in the forward direction and an average of 6% savings in the reverse direction relative to baseline vehicle control. This also represents an additional 4% energy savings in the forward and reverse directions when compared to using just the NMPC powertrain controller presented in [55]. The distribution of this savings relative to the baseline vehicle control is shown in Figure 4-10.…”

“…This controller utilizes predictions of future vehicle velocity and torque demand, provided by the MTU-developed optimal velocity profiling algorithm [57,58], to optimize drive unit powersplit and battery SOC management. Depending on the operating mode commanded, the NMPC powertrain controller will command one or both motor torques, engine torque, and engine speed [55]. A simplified representation of the NMPC powertrain controller is shown in Figure 4-3.…”

“…As outlined in [55,56], the Optimal Mode Path Planning Algorithm and NMPC powertrain controller are the two MTU NEXTCAR-developed technologies that are designed to provide optimal powertrain control using a short, seconds length horizon prediction of future vehicle operating condition. While capable of being implemented without the other, these two technologies were designed to be implemented as one integrated predictive powertrain controller.…”

“…The integrated predictive powertrain controller has undergone extensive testing both in simulations and on-road, in-vehicle testing. The logged drive cycles tested in simulation in [55] with only the NMPC powertrain controller were re-tested in this work using the full…”

“…This information can be used by powertrain controllers to provide superior mode selection and powersplit strategies [35,78]. This paper presents an integrated predictive powertrain controller for a multi-mode Harmonization [59], Optimal Velocity Profiling [57,58], Charge Depleting/Charge Sustaining Optimization [43], and NMPC power split management [55].…”