Adaptive Control Using Map-Based ECMS for a PHEV
2012 (English)In: E-COSM'12 -- IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, 2012, 357-362 p.Conference paper (Refereed)
A plug-in hybrid electric vehicle(PHEV) is a promising way of achieving the benefits of the electric vehicle without being limited by the electric range. This paper develops an adaptive control strategy based on a map-based ECMS approach. The control is developed andimplemented in a simulator provided by IFP Energies nouvelles for the PHEV benchmark. The implemented control strives to be as blended as possible, whilst still ensuring that all electric energy is used in the driving mission. The controller is adaptive to reduce the importance ofcorrect initial values but since the initial values aect the consumption a method is developed to estimate the optimal initial value for the controller based on driving cycle information. This is seen to work well for most driving cycles with promising consumption results. The controller also fulfills all requirements set by the PHEV Benchmark.
Place, publisher, year, edition, pages
2012. 357-362 p.
Hybrid Vehicles, Adaptive Control, Automotive Control, Optimal Control, PHEV Benchmark
IdentifiersURN: urn:nbn:se:liu:diva-84961DOI: 10.3182/20121023-3-FR-4025.00074ISBN: 978-390282316-8OAI: oai:DiVA.org:liu-84961DiVA: diva2:563277
E-COSM'12 -- IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling