Abstract: An enclosure for an energy storage device is presently disclosed. The enclosure includes a cell housing having a base portion and at least one side portion seamlessly extending from the base portion to define a volume and having a peripheral edge defining an aperture distal from the base portion through which an electrochemical cell may be disposed within the volume, and a cover securable to the peripheral edge of the housing, where the housing and cover are configured to house at least one electrochemical cell at an operating temperature greater than about 100 degrees Celsius. The enclosure may also include an environmental housing configured to nestingly receive the cell housing, and an insulating element disposed between the environmental housing and the cell housing. Also disclosed is a method of packaging the energy storage device utilizing the enclosure.

Abstract: An electrochemical device is disclosed that includes a plurality of cells that each include a face, wherein a terminal is disposed on the faces of each respective cell. A bus bar has a bus bar height and electrically couples the terminals from cell-to-cell within the electrochemical device. A plurality of sheets are disposed between the plurality of cells, the plurality of sheets are substantially the same height as the combined, height of each cell and bus bar.

Abstract: A method is described for affecting changes in a business including a multiple interrelated business processes.

Abstract: A system for representing information and decision flow requirements in a transactional business process is provided. The system comprises an information gathering object and a decision object. The information gathering object represents a piece of information used in the transactional business system and the decision object represents a satisfying condition for achieving an objective associated with the transactional business system. The system further comprises one or more information channels that link the information gathering objects to the one or more decision objects. The information channels represent the information and decision flow requirements within the transactional business system.

Abstract: A method for using and interacting with mathematical or algorithmic business system transfer functions in support of a business information, analysis, decisioning and control system. The method includes developing at least one high-level business system view wherein the transfer function is configured to quantitatively express the business system view; identifying a number of input parameters associated with one or more of the resources used in the business process, identifying at least one output parameter associated with the operation of the business process; collecting operational data that associate the number of input parameters with the at least one output parameter based on an actual operation of the business process. The method also includes a primary display layer that presents a control scenario for a testbed environment for the business information and decisioning control system.

Abstract: A business system decisioning framework for using and interacting with a business system transfer function is presented. The framework includes a high-level business system transfer function that quantitatively describes the operation of the business system. A primary display layer presents a representation of the status of the operation of the business processes of the business system, and a cockpit display layer allows a user to adjust the parameters of the a stochastic simulation based upon the business system transfer function.

Abstract: Electrical data processing techniques are described for performing business analysis based on datasets that are incomplete (e.g., contain censored data) and/or based on datasets that are derived from a stage-based business operation. A first technique offsets the effects of error caused by the incomplete dataset by performing a trending operation followed by a de-trending operation. A second technique provides a model containing multiple sub-models, where the output of one sub-model serves as the input to another sub-model in recursive fashion. A third technique determines when a specified event is likely to occur with respect to a given asset by first discriminating whether the event is very unlikely to occur; if the asset does not meet this initial test, it is further processed by a second sub-model, which determines the probability that the specified event will occur for each of a specified series of time intervals.