Gregory L. Plett

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Battery management systems in hybrid electric vehicle battery packs must estimate values descriptive of the pack’s present operating condition. These include: battery state of charge, power fade, capacity fade, and instantaneous available power. The estimation mechanism must adapt to changing cell characteristics as cells age and therefore provide accurate(More)
Battery management systems in hybrid-electric-vehicle battery packs must estimate values descriptive of the pack’s present operating condition. These include: battery state-of-charge, power fade, capacity fade, and instantaneous available power. The estimation mechanism must adapt to changing cell characteristics as cells age and therefore provide accurate(More)
Battery management systems (BMS) in hybrid-electric-vehicle (HEV) battery packs must estimate values descriptive of the pack’s present operating condition. These include: battery state of charge, power fade, capacity fade, and instantaneous available power. The estimation mechanism must adapt to changing cell characteristics as cells age and therefore(More)
In this paper, we see adaptive control as a three-part adaptive-filtering problem. First, the dynamical system we wish to control is modeled using adaptive system-identification techniques. Second, the dynamic response of the system is controlled using an adaptive feedforward controller. No direct feedback is used, except that the system output is monitored(More)
In some battery applications, such as in hybrid electric vehicles or battery electric vehicles, it is necessary to be able to estimate, in real time, the present available power that may be sourced by the battery pack. Similarly, in rechargeable packs, it may be necessary to know how much charging power the pack can accept. These values must be carefully(More)
At present, the control of a dynamic system (the \plant") is generally done by means of feedback. This paper proposes an alternative approach that uses adaptive ltering to achieve feedforward control for both linear and nonlinear plants. Precision is attained because of the feedback incorporated in the adaptive ltering. Disturbance in the plant can be(More)
The detection and disposal of anti-personnel land mines is one of the most difficult and intractable problems faced in ground conflict. This paper presents detection methods which use a separated-aperture microwave sensor and an artificial neural-network pattern classifier. Several data-specific preprocessing methods are developed to enhance neuralnetwork(More)
An unknown linear plant will track an input command signal if the plant is driven by a controller whose transfer function approximates the inverse of the plant transfer function. An adaptive inverse identification process can be used to obtain a stable controller, even if the plant is nonminimum phase. A model-reference version of this idea allows system(More)
Many problems in adaptive control can be divided into two parts; the first part is the control of plant dynamics, and the second is the control of plant disturbance. Very often, a single system is utilized to achieve both of these control objectives. The approach of this paper treats each problem separately. Control of plant dynamics can be achieved by(More)