
ICE/HPM generator range extender for a series hybrid EV powertrain
Author(s) -
AlAdsani Ahmad S.,
Jarushi Ali M.,
Beik Omid
Publication year - 2020
Publication title -
iet electrical systems in transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 26
eISSN - 2042-9746
pISSN - 2042-9738
DOI - 10.1049/iet-est.2018.5097
Subject(s) - prime mover , automotive engineering , generator (circuit theory) , range (aeronautics) , battery (electricity) , powertrain , battery pack , hybrid power , auxiliary power unit , electric generator , engineering , rectifier (neural networks) , permanent magnet synchronous generator , power (physics) , electrical engineering , mechanical engineering , computer science , torque , magnet , aerospace engineering , voltage , physics , stochastic neural network , quantum mechanics , machine learning , recurrent neural network , artificial neural network , thermodynamics
This study discusses an optimised auxiliary power unit for applications in series hybrid electric vehicles (SHEVs). The auxiliary power source consists of an internal combustion engine (ICE) and a hybrid permanent magnet (HPM) generator. The ICE acts as a prime mover to the HPM generator the electrical output of which is connected to the vehicle DC‐link via a passive rectifier. The vehicle primary energy is supplied by a ZEBRA battery system while the ICE/HPM generator provides a range extension. The SHEV performance is evaluated over some driving cycles using performance indicators such as driving range, fuel consumption, emissions and, battery utilisation. A dynamic model of the ICE/HPM generator system is developed and a vehicle range, with consideration of the battery dynamics, is numerically evaluated via a simulation platform. The predicted results are compared with measurements from a laboratory prototype HPM generator system, which shows a good agreement hence validating the models and simulation platform.