An adaptive algorithm based on weighted recursive least squares is derived and implemented. The generality of the approach is underscored by the application of the algorithm to hybrid-electric-vehicle lead acid and electric-vehicle nickel metal hydride (NiMH) battery systems. The algorithm is fully recursive in that the only variables required for on-line regression are those of the previous time step and the current time step. The output from the adaptive algorithm is the battery state of charge (remaining energy), state of health (relative to the battery's nominal rating), and power capability. Such algorithms are likely to play a critical role in optimal operation of HEV's and onboard-diagnostics. The behavior of the algorithm in terms of convergence, accuracy, and robustness is examined.
A generalized approach for adaptive energy management of electric and hybrid electric vehicles
Ein generalisiertes Verfahren für die adaptive Betriebsüberwachung von elektrischen und hybridelektrischen Fahrzeugen
2004
12 Seiten, 5 Bilder, 27 Quellen
Conference paper
English
Route-based adaptive optimization for energy management of hybrid electric vehicles
Springer Verlag | 2014
|Route-based adaptive optimization for energy management of hybrid electric vehicles
British Library Online Contents | 2014
|Route-based adaptive optimization for energy management of hybrid electric vehicles
Online Contents | 2014
|