Optimal control of parallel hybrid electric vehicles

By Antonio Sciarretta, Michael Back, Lino Guzzella. IEEE Transactions on Control Systems Technology, 2004

891 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Fluid Flow and Transfer Processes

View Paper: https://www.semanticscholar.org/paper/a32a73bf88e202b9b33ecad08cfb362b09e7c3fb

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In Automotive Engineering

In Electrical and Electronic Engineering

In Fluid Flow and Transfer Processes

Citations in the corpus

Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles (2015, background): “SOPHISTICATED energy management strategies have been developed to provide better fuel economy performance in hybrid electric vehicles (HEVs) [1], [2].”
An investigation on the effect of driver style and driving events on energy demand of a PHEV (2012, methodology): “Instantaneous fuel economy optimisation technique like ECMS are used in [9, 10].”
Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends (2007, methodology): “tion: The introduction of the equivalent fuel consumption [32]–[35] paved the way for utilization of optimal control theory for real-time power management in hybrid vehicles.”
A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles (2011, methodology): “For example, the equivalent fuel consumption minimization approach [4] [5] [6] uses models of electric powertrain performance to mathematically convert electricity consumption to an equivalent amount of fuel, and then makes real-time power split decisions to minimize net fuel consumption.”
A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management (2005, background): “ECMS proves to be an excellent candidate for the implementation of a real-time control strategy on an actual HEV ( 7 ),(8).”
Influence of driving patterns on life cycle cost and emissions of hybrid and plug-in electric vehicle powertrains (2013, background): “We focus on EREV PHEVs, since the performance of blended-operation PHEVs varies substantially with control strategy parameters (Tulpule et al., 2009; Sciarretta et al., 2004; Sciarretta and Guzzella, 2007; Moura et al., 2011).”
A Pontryagin Minimum Principle-Based Adaptive Equivalent Consumption Minimum Strategy for a Plug-in Hybrid Electric Bus on a Fixed Route (2017, background): “The EF can be further modified by a weighting of such two constants for the charging and discharging respectively [19].”
Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, background): “The reader is referred to [84, 85, 86, 87] for details on the model assumptions, guarantees of optimality, implementation details, and performance in case the assumptions are violated.”