RT Journal Article
T1 Energy Management Control and Optimization for Hybrid Electric Vehicles
A1 Pérez Torreglosa, Juan
AB This Issue, Energy Management Control and Optimization for Hybrid Electric Vehicles,was set in motion over three years ago with the objective of addressing the challenges posedby energy management control and optimization in vehicle hybridization. Papers wereinvited that proposed novel power management methods capable of acquiring optimalpower handling, accommodating system inaccuracies, and suiting real-time applications toimprove the powertrain efficiency at different operating conditions. Some topics initiallyproposed included an improvement in rule-based control strategies by optimizing thedesign of their rules and the suitability of optimization-based methods to real-time application, as well as the proposal of novel control strategies. Experimental results describingreal-life applications of novel technologies were also requested. This was my first ideaof the themes for the papers in this Issue. However, as articles came in, this initial ideaevolved and expanded to other cross-cutting areas that have enriched the initial objectiveof this Special Issue
PB MDPI
SN 2076-3417 (electrónico)
YR 2022
FD 2022-09
LK https://hdl.handle.net/10272/21395
UL https://hdl.handle.net/10272/21395
LA eng
NO Torreglosa, J. P. (2022). Energy Management Control and Optimization for Hybrid Electric Vehicles. In Applied Sciences (Vol. 12, Issue 18, p. 9263). MDPI AG. https://doi.org/10.3390/app12189263
DS Repositorio Institucional de la Universidad de Huelva
RD 30 may 2026