NOVELTY - The method involves obtaining data relating to vehicle. A duty for the vehicle and a configuration of a battery system are determined. Data to predict anticipated conditions of operation is evaluated. The vehicle and vehicle systems are operated and conditions of operation of vehicle are monitored. Data from data sources is used based on predicted conditions. The actual duty to be performed by vehicle is modified. An objective to be carried out by vehicle or a route of vehicle to a predetermined destination is modified in response to predicted and monitored conditions.    USE - Method for predictive management of battery system in vehicle such as electric vehicle, battery electric vehicle and plug-in electric vehicle (all claimed), and personal vehicle for household. Can also be used in commercial vehicles, agriculture vehicles, industrial vehicles, emergency services vehicles, light-duty vehicles, heavy-duty vehicles, military vehicles, land vehicles, remote-controlled vehicles, etc.    ADVANTAGE - The data made available through an analytics function/system can be interchanged within an enterprise to build institutional knowledge. The opportunities/options, risks and hazards are identified and trade-offs and data-mined for hidden trends are analyzed and made. The insights into customer relationships are improved and modeling and analysis are performed. The strategic objectives are evaluated and established and expected performance improvements are identified and develop new metrics. The accuracy of data used by the system is improved and the life-cycle of components is improved. The performance of the energy storage system and/or vehicle in operation is enhanced. The energy efficiency is improved to extend component life and the performance of duties is optimized. The occurrence of malfunctions/failure is reduced and the proper use of components is ensured. The service routines and product life-cycle are managed and optimized. The management system can direct the thermal management system to attempt to maintain proper/desired operating temperatures in the battery system while limiting the use of the battery module so that the risk from the battery module is reduced. The vehicle/system can be configured as recommended and the recommended configuration can be validated for use and operation, and override of the recommended configuration can be permitted at or during installation. The patterns and trends in aggregated data are identified and data models for components and data sets from data sources are updated. The data sets/data models and/or programs relating to performance of various combinations of components and conditions are optimized. The accuracy of data models including computational models and related development is improved and data-mining of aggregate data is facilitated for research. The data operations including comparison and evaluation, data analysis and interpretation of aggregated data are facilitated. The accurate database content for systems is maintained and opportunities for component and vehicle performance improvement are identified. The data sets with empirical data from actual performance are enhanced and predictive management of vehicle systems is improved. The failure modes and conditions for components from data of actual performance are identified and the data quality from data sources is improved.    DESCRIPTION OF DRAWING(S) - The drawing shows a flow diagram illustrating the operation of a management system with predictive control for a vehicle system such as an energy storage system for a vehicle.