Abstract: A system for optimizing charging for a vehicle having a rechargeable energy storage unit and travelling on a route includes a controller. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. Execution of the instructions by the processor causes the controller to obtain details of the route, including surveying local charging infrastructure to determine availability of one or more charging stations within a predefined radius of the route. The controller is adapted to obtain respective station parameters pertaining to the one or more charging stations. Based on user input, at least one session goal is selected from a predefined set of goals. The controller is adapted to generate a recommended charging profile respectively for one or more stops along the route, based in part on the session goal and the respective station parameters.

Abstract: A system for optimizing charging for a vehicle having a rechargeable energy storage unit and travelling on a route includes a controller. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. Execution of the instructions by the processor causes the controller to obtain details of the route, including surveying local charging infrastructure to determine availability of one or more charging stations within a predefined radius of the route. The controller is adapted to obtain respective station parameters pertaining to the one or more charging stations. Based on user input, at least one session goal is selected from a predefined set of goals. The controller is adapted to generate a recommended charging profile respectively for one or more stops along the route, based in part on the session goal and the respective station parameters.