Cargo E-Bike Robust Speed Control Using an MPC Battery Thermal Lumped Model Approach

Basit Öğe Kaydı
dc.contributor.authorGenc, Mehmet Onur
dc.date.accessioned2026-02-08T15:16:04Z
dc.date.available2026-02-08T15:16:04Z
dc.date.issued2024
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractCargo e-bikes are expected to convey heavy loads in all aspects of daily life. Also, these vehicles are expected to maintain a consistent speed to meet mobility needs while optimizing the battery design. In this paper, a control model is developed to improve rotational speed motor control via the battery model predictive controller (MPC) thermal model designed based on experimental field test data. Experimental field tests are performed to provide the relation between battery surface and ambient temperatures in different road types and weight conditions. For this purpose, in different slope ranges, the pedal load/activity and voltage-current data are logged to use as experimental input in an MPCintegrated 1D model. To obtain the desired thermal conditions in the Li-Ion battery, the MPC battery thermal model is defined based on the thermal lumped model approach. In the next step, the generated MPC model is used as a function for longitudinal speed control in the MPC motor torque control model subjected to uncertain road disturbances. Then, the outputs of the control models are compared using the MPC parameters oc weight factors and prediction horizon. Thus, the speed control model for cargo e-bikes is presented with increased robustness using the MPC battery thermal lumped model approach considering energy and Li-Ion battery life-cycle efficiency methods regardless of driving performance needs.
dc.description.sponsorshipTUBITAK 2219 (The Scientific and Technological Research Council of Turkey) entitled 'An Experimental Battery Model Development for PAS (Pedal Assist System) of E-Quadricycle under Hill Hybrid Driving Modes at Different Ambient Temperatures'; Institute of Measurement, Control, and Microtechnology, Ulm University, Germany
dc.description.sponsorshipThis study is funded by TUBITAK 2219 (The Scientific and Technological Research Council of Turkey) entitled 'An Experimental Battery Model Development for PAS (Pedal Assist System) of E-Quadricycle under Hill Hybrid Driving Modes at Different Ambient Temperatures'. The author is extremely grateful to the 'Institute of Measurement, Control, and Microtechnology, Ulm University, Germany' for supporting the research project and providing testing opportunities.
dc.identifier.doi10.5545/sv-jme.2023.899
dc.identifier.endpage391
dc.identifier.issn0039-2480
dc.identifier.issue7-8
dc.identifier.scopus2-s2.0-85203454453
dc.identifier.scopusqualityQ2
dc.identifier.startpage381
dc.identifier.urihttps://doi.org/10.5545/sv-jme.2023.899
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6119
dc.identifier.volume70
dc.identifier.wosWOS:001301301700006
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAssoc Mechanical Engineers Technicians Slovenia
dc.relation.ispartofStrojniski Vestnik-Journal of Mechanical Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzWOS_KA_20260207
dc.subjectcargo e-bike
dc.subjecte-micromobility
dc.subjectMPC
dc.subjectrobust control
dc.subjectroad uncertainty
dc.subjectlumped thermal model
dc.subjectstate-space modelling
dc.titleCargo E-Bike Robust Speed Control Using an MPC Battery Thermal Lumped Model Approach
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu