The current transition from internal combustion engine vehicles to battery electric vehicles requires the development and implementation of novel design methodologies. This paper introduces an original design procedure for battery electric light vehicle powertrains based on rapid brute force optimization. At first, a large design space is generated by sweeping the relevant design parameters, specifically the motor size, the number of gears and the transmission ratios. Analytical modeling for electric vehicle powertrains is then presented and combined with lookup tables for the actual system components. The feasible candidate designs are identified by introducing evaluation criteria for the transmission ratios according to the vehicle and electric machine data considered. Subsequently, these candidate designs are evaluated both in terms of launching performance and energy consumption by adopting an efficiency based gear-shifting strategy. Optimal designs can finally be graphically identified through a Pareto frontier analysis as effectively demonstrated in the case of four actual vehicles of different classes. The methodology introduced efficiently addresses the non-linear

Comparing battery electric vehicle powertrains through rapid component sizing / Anselma, PIER GIUSEPPE; Belingardi, Giovanni. - In: INTERNATIONAL JOURNAL OF ELECTRIC AND HYBRID VEHICLES. - ISSN 1751-4096. - 11:1(2019), pp. 36-58. [10.1504/IJEHV.2019.098718]

Comparing battery electric vehicle powertrains through rapid component sizing

Pier Giuseppe Anselma;Giovanni Belingardi
2019

Abstract

The current transition from internal combustion engine vehicles to battery electric vehicles requires the development and implementation of novel design methodologies. This paper introduces an original design procedure for battery electric light vehicle powertrains based on rapid brute force optimization. At first, a large design space is generated by sweeping the relevant design parameters, specifically the motor size, the number of gears and the transmission ratios. Analytical modeling for electric vehicle powertrains is then presented and combined with lookup tables for the actual system components. The feasible candidate designs are identified by introducing evaluation criteria for the transmission ratios according to the vehicle and electric machine data considered. Subsequently, these candidate designs are evaluated both in terms of launching performance and energy consumption by adopting an efficiency based gear-shifting strategy. Optimal designs can finally be graphically identified through a Pareto frontier analysis as effectively demonstrated in the case of four actual vehicles of different classes. The methodology introduced efficiently addresses the non-linear
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2725751
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