Electric vehicle battery management algorithm development using a HIL simulator incorporating three-phase machines and power electronics

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dc.contributor.authorFotouhi, Abbas
dc.contributor.authorPropp, Karsten
dc.contributor.authorSamaranayake, Lilantha
dc.date.accessioned2019-05-29T14:54:26Z
dc.date.available2019-05-29T14:54:26Z
dc.date.issued2016-09-09
dc.description.abstractThis paper describes a hardware-in-the-loop (HIL) test rig for the test and development of electric vehicle battery management and state-estimation algorithms in the presence of realistic real-world duty cycles. The rig includes two back-to-back connected brushless DC motors, the respective power electronic controllers, a target battery pack, a dSPACE real-time simulator, a thermal chamber and a PC for human-machine interface. The traction motor is commanded to track a reference velocity based on a drive cycle and the target battery pack provides the required power. Except the battery pack and the electric machine which are real, other parts of a vehicle powertrain system are modelled and used in the real-time simulator. A generic framework has been developed for real-time battery measurement, model identification and state estimation. Measurements of current and battery terminal voltage are used by an identification unit to extract parameters of an equivalent circuit network (ECN) model in real-time. Outputs of the identification unit are then used by an estimation unit which uses an artificial intelligent model trained to find the relationship between the battery parameters and state-of-charge (SOC). The results demonstrate that even with a high noise level in measured data, the proposed identification and estimation algorithms are able to work well in real-time.en_UK
dc.identifier.citationAbbas Fotouhi, Karsten Propp, Lilantha Samaranayake, et al., Electric vehicle battery management algorithm development using a HIL simulator incorporating three-phase machines and power electronics. 3rd Biennial International Conference on Powertrain Modelling and Control: Testing, Mapping and Calibration (PMC 2016), Loughborough, 7-9 September 2016.en_UK
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/14212
dc.language.isoenen_UK
dc.subjectbattery modellingen_UK
dc.subjectelectric powertrainen_UK
dc.subjecthardware-in-the-loop testen_UK
dc.subjectstate-of-charge estimationen_UK
dc.subjectidentificationen_UK
dc.titleElectric vehicle battery management algorithm development using a HIL simulator incorporating three-phase machines and power electronicsen_UK
dc.typeConference paperen_UK

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