Pregled bibliografske jedinice broj: 1056987
An Extended Range Electric Vehicle Backward- looking Model Accounting for Powertrain Transient Effects
An Extended Range Electric Vehicle Backward- looking Model Accounting for Powertrain Transient Effects // SAE Technical Paper #2020-01-1442 / - , 2020
Detroit (MI): SAE INTERNATIONAL, 2020. str. 1-12 doi::10.4271/2020-01-1442. (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1056987 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An Extended Range Electric Vehicle Backward-
looking Model Accounting for Powertrain
Transient Effects
Autori
Soldo, Jure ; Škugor, Branimir ; Deur, Joško
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
SAE Technical Paper #2020-01-1442 / - , 2020
/ - Detroit (MI) : SAE INTERNATIONAL, 2020, 1-12
Skup
WCX SAE World Congress Experience
Mjesto i datum
Detroit (MI), Sjedinjene Američke Države, 14.10.2020
Vrsta sudjelovanja
Ostalo
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Optimization ; Electric Vehicles ; Fuel Economy ; Powertrains
Sažetak
Since the Extended range electric vehicle (EREV) powertrain structure is based on different power sources, a key vehicle design activity is related to development of an optimal control strategy for achieving a high fuel economy potential. The central role in developing an optimized energy management strategy is related to availability of computationally-efficient, high-fidelity EREV powertrain model. This paper proposes a method for developing an extended quasi-static backward-looking EREV powertrain model, which when compared to traditional backward model accounts for powertrain transient effects through additional fuel and battery state-of- charge consumptions. The effects of powertrain transients are characterized by means of extensive simulations of dynamic forward- looking EREV powertrain model covering a wide array of possible powertrain transient scenarios. A regression technique is then applied to model powertrain transient effects functions, which are incorporated within a standard backward model, thus combining the computational efficiency of a backward model and the accuracy of a forward model. The proposed, extended backward model is validated against the forward model for the case of a series-parallel EREV powertrain, in order to illustrate its performance in terms of accuracy and computational efficiency.
Izvorni jezik
Engleski
POVEZANOST RADA
Projekti:
HRZZ-IP-2018-01-8323 - Adaptivno i prediktivno upravljanje utičnim hibridnim električnim vozilima (ACHIEVE) (Deur, Joško, HRZZ - 2018-01) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb