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The State-of-charge (SOC) is a critical parameter for the battery, which is a hot research in areas such as new energy vehicles, but the research on lead-acid batteries as backup power in Uninterrupted Power System in data center has rarely been done. In this paper, for the first time, a model named Poly-Nernst, which is a combination of polynomial model and Nernst battery model, is proposed to estimate...
For maximization of efficiency of interior permanent magnet generators (IPMSG) and optimization of machine control correct parameters of the machine are needed. Parameters used in advanced control of the machine are stator resistance, magnetic flux linkage and inductances of d and q axes. Alongside them ohmic resistance that represents core losses can be employed to further increase efficiency of...
Persistent of excitation of the input/output signals is a necessity for any online parameter identification technique. In most real battery systems, the drive signals may not fully satisfy this condition at all times, which can lead to divergence and failure of the incorporated battery management system. Therefore, in this paper, a hybrid battery parameter identification concept is proposed whereby...
The digital speed control systems of a DC motor are treated in this paper. The parameters of DC motor were not known, so that the parameter estimation and model identification is carried out first. Two control systems are considered: a classical discrete PI controller and a discrete-time sliding mode controller. Problems of robustness to matched parameter uncertainties and outer disturbances were...
Negative-saliency PMSM in which Ld is higher than Lq can achieve wider speed range, therefore it has a broad application prospect in electric vehicles. The parameters vary greatly under different operation conditions, leading to deteriorate the performance of the controller. In this paper, an adaptive control method based on online parameter identification is proposed. In constant torque region, adaptive...
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