Modeling and Control of a Power-Split Hybrid Vehicle

By Jinming Liu, Huei Peng. IEEE Transactions on Control Systems Technology, 2008

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Pontryagin’s Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus (2019, methodology): “2 Comparison with DP-MPC For comparison purposes, this section introduces the DP-MPC method, for which the iterative equation of the k-th prediction horizon can be expressed by [53]”
A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles (2011, methodology): “Stochastic dynamic programming (SDP) methods are particularly ppealing in this context, despite their well-recognized comp utational complexity [20], because of their ability to optimi ze a power split map for a probabilistic distribution of many drive cycles, rather than a single cycle [21-25].”
Predictive energy management of a power-split hybrid electric vehicle (2009, methodology): “For more details, the reader is referred to the literature [7], [5].”
Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles (2015, background): “Power-split HEVs are dominant in the current HEV market [14].”