| Texto completo | |
| Autor(es): |
de Paula, Marcelo Vinicius
[1]
;
Barros, Tarcio Andre dos Santos
[1]
;
Moreira, Hugo Soeiro
[2]
;
Catata, Elmer O. Hancco
[2]
;
Villalva, Marcelo Gradella
[2]
;
Ruppert Filho, Ernesto
[2]
Número total de Autores: 6
|
| Afiliação do(s) autor(es): | [1] Univ Estadual Campinas, Fac Mech Engn, BR-13083860 Sao Paulo - Brazil
[2] Univ Estadual Campinas, Fac Elect & Comp Engn, BR-13083860 Sao Paulo - Brazil
Número total de Afiliações: 2
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION; v. 7, n. 2, p. 730-740, JUN 2021. |
| Citações Web of Science: | 2 |
| Resumo | |
Switched reluctance machines have gained interest in electric vehicle (EV) applications because of its prominent advantages. However, drawbacks as torque ripple and highly nonlinear model restrain the usage of such machines on larger scale. In this article, a minimum torque ripple point tracking (MTRPT) algorithm is proposed for online variation of turn-off angle. Also, a method for designing Dahlin cruise controllers with back electromotive force (back EMF) cancellation is presented. The system model accounts for the current profiling technique for the design. The developed model is verified through simulation and experiments. The system presents minimum torque ripple tracking capability in broad operation speed testified by ECE-R15 and extra-urban driving cycle (EUDC) driving schedules. The MTRPT convergence time achieved during a load step in simulation and experiment is around 1 s. In simulation, the speed tracking capability of the controller returns a root-mean-square error (RMSE) of 0.047 and 0.0182 rad/s for the ECE-R15 and EUDC driving cycles, respectively. When the EUDC driving schedule is tested experimentally, the MTRPT diminished the torque ripple on average by 20% compared to when the turn-off angle is fixed. The speed tracking error is 0.99% with the MTRPT and 1.3414% with the turn-off angle fixed. The results show that the system is valid for electric and hybrid EV implementation. (AU) | |
| Processo FAPESP: | 17/21640-9 - Estudo e desenvolvimento de técnicas de controle e acionamento para utilização de máquinas elétricas de relutância variável em veículos elétricos. |
| Beneficiário: | Tárcio André dos Santos Barros |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 16/08645-9 - Pesquisas interdisciplinares em redes inteligentes de energia elétrica |
| Beneficiário: | João Bosco Ribeiro do Val |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |