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In electric vehicles battery life can be prolonged by using hybrid energy storage systems (HESS ), which combine high energy density batteries with supercapacitors, characterized by high power density. This paper deals with the control of electronic power converters from an active parallel HESS. The load of the HESS is the electrical motor drive of an electric vehicle. The interfaces between the DC-link and the power sources are four-phase bidirectional DC-DC converters driven in current control mode, based on the current references supplied by an active parallel HESS power distribution algorithm. We present a rule-based fuzzy energy management algorithm for a HESS powered electric vehicle and its simulation in MATLAB/Simulink®environment using the Quasi-Static Simulation (QSS ) and Fuzzy Logic toolboxes. Also, simulation results in driving and regenerative braking operation modes of the electric vehicle are presented.

We have tested the stability of interrater reliability of psychiatric symptoms over a quarter of century using 2 rating scales. Interrater reliabilities of items of 2 psychiatric rating scales employed by 2 consecutive follow-ups were compared. Interrater reliabilites proved to be by and large stable. Interrater reliability depends on the standard deviation of the items scores. In addition to the traditional approach, a new statistical method for unifying the assessments from multiple raters is also presented. Using this method, we demonstrated that probabilities of correct ratings are higher in the absence of manifest symptoms, or in the presence of symptoms, as compared with cases characterized by middle scores. To interpret the relationships revealed in the setting of the experiment, we introduce for its theoretical designation the term “validity of reliability.” It is recommended for evaluation of results of rating scales in the context of psychiatric nosology.

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