Seite - 65 - in Emerging Technologies for Electric and Hybrid Vehicles
Bild der Seite - 65 -
Text der Seite - 65 -
Energies 2017,10, 1217
Figure68.WorkingprincipleofvehiclestabilitysystemproposedbyTahamietal.Aneuralnetwork
wasusedin theyawreferencegenerator [25].
Figure 69. Independent torque control systemproposedbyWanget al.,Differential drive assisted
steering(DDAS)subsystemanddirectyawmomentcontrol subsystemcreates theupper layer. The
traction control subsystem processes the inputs, and the controlling is done through the lower
layer [178].
Figure70.Workingprincipleof theSOCmeasuringalgorithmproposedbyZhouetal. [180].
Aspointedout inSection8, thegrid is facing someseriousproblemswith the current rise in
EVpenetration. Reducing the charging time of the vehicleswhile creatingminimal pressure on
thegridhasbecomedifficult goal to achieve. However, ample researchhas alreadybeendoneon
thismatterandanumberof chargingsystemalgorithmshavebeenproposed toattain satisfactory
chargingperformance.
65
Emerging Technologies for Electric and Hybrid Vehicles
- Titel
- Emerging Technologies for Electric and Hybrid Vehicles
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-191-7
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 376
- Schlagwörter
- electric vehicle, plug-in hybrid electric vehicle (PHEV), energy sources, energy management strategy, energy-storage system, charging technologies, control algorithms, battery, operating scenario, wireless power transfer (WPT)
- Kategorie
- Technik