A simulation-driven methodology for battery electric vehicles concept design

Holjevac, Nikola; Cheli, Federico; Gobbi, Massimiliano

doi:10.23919/eeta.2018.8493162

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…Current research activities addressing this topic are under development at Politecnico di Milano regarding the optimization of several powertrain architectures, 9–11 at TU Munich focusing on EV, 12–14 and at TU Wien in the field of optimization strategies. 15–17…”

Section: Introductionmentioning

confidence: 99%

“…2 Similar approaches are employed for the car body design by Daimler, 3 BMW 4 and Ford 5 ; gear shifting strategy 6 ; air conditioning system 7 ; and active suspension. 8 Current research activities addressing this topic are under development at Politecnico di Milano regarding the optimization of several powertrain architectures, [9][10][11] at TU Munich focusing on EV, [12][13][14] and at TU Wien in the field of optimization strategies. [15][16][17] Application to specific powertrain layouts are provided for ICEV, 18,19 HEV 20,21 and battery electric vehicle (BEV) 22 where for the works with HEV and EV scalable approaches are applied for the powertrain's components definition in order to handle design variations.…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective vehicle optimization: Comparison of combustion engine, hybrid and electric powertrains

Holjevac

Cheli

Gobbi

2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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The use of optimization techniques has been extensively adopted in vehicle design and with the increasing complexity of systems, especially with the introduction of new technologies, it plays an even more significant role. Market competition, stringent mandatory emission regulations and the need for a future sustainable mobility have raised questions over conventional vehicles and are pushing toward new cleaner and eco-friendly solutions. Fulfilling this target without sacrificing the other vehicle’s requirements leads to extremely challenging tasks for vehicle designers. The use of virtual prototyping emerges as a possible breakthrough allowing to rapidly assess the effect of design changes and the impact of new technologies. The study presented in this work provides a suitable approach to compare different vehicle powertrain architectures through optimization techniques and deploying model-based simulation to rapidly assess vehicle performances. The vehicle model is defined at the components level through scalable models obtained from based on detailed simulation. An optimal energy management is applied to the power sources and transmission gear shifting. The optimization technique consider the main design variables of the various components including vehicle chassis and extensively exploits the design space. The multi-objective optimization considers vehicle’s consumption, emission, range, longitudinal and lateral dynamics, costs and further performances to comprehensively assess the vehicle. The results allow to compare four different powertrain architectures: combustion engine vehicle, hybrid electric vehicle with parallel and series configuration, and battery electric vehicle. The results allows furthermore to identify technological limitations and conflicts among the different objectives. A critical analysis over the main design variables allows to identify the more suitable values and in particular, for combustion engine, gearbox and electric traction drive detailed comparisons are provided.

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