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Open AccessArticle

Multi-Objective Evolutionary Design of an Electric Vehicle Chassis

1
Department of Transportation Engineering, University of Oviedo, 33203 Gijón, Spain
2
Department of Computer Science, University of Oviedo, 33203 Gijón, Spain
3
Department of Mechanical Engineering, University of Zaragoza, 50018 Zaragoza, Spain
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(13), 3633; https://doi.org/10.3390/s20133633
Received: 26 May 2020 / Revised: 17 June 2020 / Accepted: 22 June 2020 / Published: 28 June 2020
(This article belongs to the Special Issue Data Processing of Intelligent Sensors)
An iterative algorithm is proposed for determining the optimal chassis design of an electric vehicle, given a path and a reference time. The proposed algorithm balances the capacity of the battery pack and the dynamic properties of the chassis, seeking to optimize the tradeoff between the mass of the vehicle, its energy consumption, and the travel time. The design variables of the chassis include geometrical and inertial values, as well as the characteristics of the powertrain. The optimization is constrained by the slopes, curves, grip, and posted speeds of the different sections of the track. Particular service constraints are also considered, such as limiting accelerations due to passenger comfort or cargo safety. This methodology is applicable to any vehicle whose route and travel time are known in advance, such as delivery vehicles, buses, and race cars, and has been validated using telemetry data from an internal combustion rear-wheel drive race car designed for hill climb competitions. The implementation of the proposed methodology allows to reduce the weight of the battery pack by up to 20%, compared to traditional design methods. View Full-Text
Keywords: chassis optimization; electric vehicle (EV); energy consumption; genetic algorithm; electric powertrain chassis optimization; electric vehicle (EV); energy consumption; genetic algorithm; electric powertrain
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Luque, P.; Mántaras, D.A.; Maradona, Á.; Roces, J.; Sánchez, L.; Castejón, L.; Malón, H. Multi-Objective Evolutionary Design of an Electric Vehicle Chassis. Sensors 2020, 20, 3633.

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