A stochastic control strategy for hybrid electric vehicles

By Chan-Chiao Lin, Huei Peng, Jessy W. Grizzle. Proceedings of the 2004 American Control Conference, 2004

495 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ed35df335d6f8e3bdbaa604afe9864375f961452

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Citations in the corpus

Stochastic MPC With Learning for Driver-Predictive Vehicle Control and its Application to HEV Energy Management (2014, background): “We consider the series hybrid electric vehicle (SHEV) [11], [20], [38] whose powertrain is shown schematically in Fig.”
An investigation on the effect of driver style and driving events on energy demand of a PHEV (2012, background): “Alternatively, EMS can be designed with reduced drive cycles dependence [7, 8].”
Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective (2017, background): “This approach was suggested to reduce drive cycle dependence in [49] and [50] for PHEV EMSs.”
Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles (2011, background): “did in their two implementations of DP [25], [26].”
Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, methodology): “…that systematically address the information gap in real-time are mostly based on robust control [78, 92], stochastic dynamic programming, and MPC. Stochastic dynamic programming is used e.g. in [93] to minimize the discounted inﬁnite-horizon cost, and in [94, 95] in a shortest path formulation.”
Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principle (2011, background): “To remedy this problem, stochastic dynamic programming and driving pattern detection with multiple driving cycles had been suggested as possible solutions [4], [5].”
Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming (2005, background): “This information level results in a time-invariant-control law that is optimized against a homogeneous, i.e., position-invariant Markov-chain model of the collected driving data, this is similar to studies in [5]–[ 7 ].”
MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle (2012, background): “, based on dynamic programming (DP) [2], [3] or have simplified the dynamic optimization problem to an equivalent instantaneous optimization, called equivalent consumption minimization strategy (ECMS) [4]–[6].”
Modeling and Control of a Power-Split Hybrid Vehicle (2008, unknown): “[19] proposed a SDP control approach for a parallel hybrid vehicle.”