MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle

By H. Borhan, Ardalan Vahidi, Anthony M. Phillips, Ming Kuang, Ilya V. Kolmanovsky, Stefano Di Cairano. IEEE Transactions on Control Systems Technology, 2012

679 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/043a740b3cdf42f6a014a1678d0669765bd8f21a

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Citations in the corpus

Energy Management for a Power-Split Plug-in Hybrid Electric Vehicle Based on Dynamic Programming and Neural Networks (2014, methodology): “In [25], MPC-based energy management of a power-split HEV was introduced to obtain the power split between the ICE and the battery, whereas it did not consider the total trip length and full use of the battery.”
Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles (2015, background): “An MPC controller solves a shortterm energy management problem at each time step, via nonlinear programming [9], quadratic programming [10], Pontryagin’s minimum principle [11] or DP [12].”
Stochastic MPC With Learning for Driver-Predictive Vehicle Control and its Application to HEV Energy Management (2014, methodology): “Compared with the powersplit configuration [37] where the power flow coupling involves mechanical powers and is obtained by a planetary gear set, the electrical bus of the series configuration has a higher”
Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, methodology): “In this application, a ﬃ ne approximations of the form l = a + ( E q − E q ) b have been shown to give good results [99].”
Vehicle Yaw Stability Control by Coordinated Active Front Steering and Differential Braking in the Tire Sideslip Angles Domain (2013, background): “For instance, several applications have been proposed in automotive control, for engine [19]–[21], traction [22], actuators [23], and energy management [24], [25].”