Simultaneous optimisation of vehicle design and control for improving vehicle performance and energy efficiency using an open source minimum lap time simulation framework

dc.contributor.authorJiménez Elbal, Alberto
dc.contributor.authorZarzuelo Conde, Adrián
dc.contributor.authorSiampis, Efstathios
dc.date.accessioned2024-08-28T15:10:27Z
dc.date.available2024-08-28T15:10:27Z
dc.date.freetoread2024-08-28
dc.date.issued2024-08-13
dc.date.pubOnline2024-08-13
dc.description.abstractThis paper presents a comprehensive framework for optimising vehicle performance, integrating advanced simulation techniques with optimisation methodologies. The aim is to find the best racing line, as well as the optimal combination of parameters and control inputs to make a car as fast as possible around a given track, with a focus on energy deployment and recovery, active torque distribution and active aerodynamics. The problem known as the Minimum Lap Time Problem is solved using optimal control methods and direct collocation. The solution covers the modelling of the track, vehicle dynamics, active aerodynamics, and a comprehensive representation of the powertrain including motor, engine, transmission, and drivetrain components. This integrated simulator allows for the exploration of different vehicle configurations and track layouts, providing insights into optimising vehicle design and vehicle control simultaneously for improved performance and energy efficiency. Test results demonstrate the effect of active torque distribution on performance under various conditions, enhanced energy efficiency and performance through regenerative braking, and the added value of including parameter optimisation within the optimisation framework. Notably, the simulations revealed interesting behaviours similar to lift-and-coast strategies, depending on the importance of energy saving, thereby highlighting the effectiveness of the proposed control strategies. Also, results demonstrate the positive effect of active torque distribution on performance under various conditions, attributed to the higher utilization of available adherence. Furthermore, unlike a simpler single-track model, the optimal solution required fine control of the active aerodynamic systems, reflecting the complex interactions between different subsystems that the simulation can capture. Finally, the inclusion of parameter optimisation while considering all active systems, further improves performance and provides valuable insights into the impact of design choices.
dc.description.journalNameWorld Electric Vehicle Journal
dc.identifier.citationJiménez Elbal A, Zarzuelo Conde A, Siampis E. (2024) Simultaneous optimisation of vehicle design and control for improving vehicle performance and energy efficiency using an open source minimum lap time simulation framework. World Electric Vehicle Journal, Volume 15, Issue 8, August 2024, Article number 366
dc.identifier.eissn2032-6653
dc.identifier.elementsID551777
dc.identifier.issn2032-6653
dc.identifier.issueNo8
dc.identifier.urihttps://doi.org/10.3390/wevj15080366
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22856
dc.identifier.volumeNo15
dc.languageEnglish
dc.language.isoen
dc.publisherMDPI
dc.publisher.urihttps://www.mdpi.com/2032-6653/15/8/366
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject4007 Control Engineering, Mechatronics and Robotics
dc.subject40 Engineering
dc.subject4010 Engineering Practice and Education
dc.subject7 Affordable and Clean Energy
dc.titleSimultaneous optimisation of vehicle design and control for improving vehicle performance and energy efficiency using an open source minimum lap time simulation framework
dc.typeArticle
dcterms.dateAccepted2024-08-02

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