A novel electric drive modeling approach is introduced to bridge the gap between computationally efficient energetic methods and highly detailed equivalent-circuit models. Unlike existing energetic models, which lack the granularity to capture motor currents and voltages, or equivalent-circuit models, which are computationally expensive, the proposed methodology achieves a balance of accuracy and efficiency. This is accomplished by combining an equivalent-circuit motor description with a phenomenological inverter model, supported by stator current reference lookup tables and a torque saturation process. These innovations enable accurate simulations with minimal input data requirements, making the model well-suited for electric vehicle early-stage design. Validation against experimental data from a Tesla Model 3 demonstrates the effectiveness of this approach for both single-motor and multiple-motor electric vehicle architectures.
A novel electric drive description to bridge the gap between energetic and equivalent-circuit models / Grano, Elia; De Carvalho Pinheiro, Henrique; Carello, Massimiliana. - In: PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART D, JOURNAL OF AUTOMOBILE ENGINEERING. - ISSN 0954-4070. - ELETTRONICO. - (2025). [10.1177/09544070251330340]
A novel electric drive description to bridge the gap between energetic and equivalent-circuit models
Grano, Elia;de Carvalho Pinheiro, Henrique;Carello, Massimiliana
2025
Abstract
A novel electric drive modeling approach is introduced to bridge the gap between computationally efficient energetic methods and highly detailed equivalent-circuit models. Unlike existing energetic models, which lack the granularity to capture motor currents and voltages, or equivalent-circuit models, which are computationally expensive, the proposed methodology achieves a balance of accuracy and efficiency. This is accomplished by combining an equivalent-circuit motor description with a phenomenological inverter model, supported by stator current reference lookup tables and a torque saturation process. These innovations enable accurate simulations with minimal input data requirements, making the model well-suited for electric vehicle early-stage design. Validation against experimental data from a Tesla Model 3 demonstrates the effectiveness of this approach for both single-motor and multiple-motor electric vehicle architectures.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/3000070