Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle from another electric vehicle, based at least in part on state of charge and/or state of health monitoring at one or more of the cell-level or pack-level. An exemplary method can comprise identifying, by a system operatively coupled to a processor, a subset of a plurality of battery cells of a vehicle system, wherein the subset of the plurality of battery cells is beyond a threshold for remediation, and initiating a charge, by the system, of the subset of the plurality of battery cells, wherein the charge comprises energy transfer at the subset of the plurality of battery cells such that the subset of the plurality of battery cells degrades towards end of life of the subset of the plurality of battery cells.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle that is moving. An exemplary method can comprise wirelessly charging, by a system operatively coupled to a processor, a power source of a first electric vehicle by a power source of a second electric vehicle while the first electric vehicle and the second electric vehicle are moving. The power source of the first electric vehicle can be a primary power source of the first electric vehicle, and the power source of the second electric vehicle can be a primary power source of the second electric vehicle.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle from another electric vehicle, based at least in part on state of charge and/or state of health monitoring at one or more of the cell-level or pack-level. An exemplary method can comprise monitoring, by a system operatively coupled to a processor, cell states of a plurality of battery cells of a vehicle system, identifying, by the system, based on the cell states, a subset of the plurality of battery cells that is beyond a threshold for remediation, and continuing to use, by the system, the subset of the plurality of battery cells such that the subset of the plurality of battery cells degrades towards end of life of the subset of the plurality of battery cells.

Abstract: One or more embodiments described herein can facilitate messaging to direct electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle. An exemplary method can comprise initiating, by a system operatively coupled to a processor, a communication between a first electric vehicle and second electric vehicle to coordinate provisioning of an emergency charging between the first electric vehicle and the second electric vehicle. The power source of the first electric vehicle can be a primary power source of the first electric vehicle, and the power source of the second electric vehicle can be a primary power source of the second electric vehicle.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Vehicle battery health optimization and communication (e.g., using a computerized tool) are enabled. For example, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a battery health component that, using a defined battery health algorithm and a battery sensor, determines degradation of a battery of a vehicle, and a communication component that, based on the degradation of the battery and a traveling direction of a user of the vehicle, external to the vehicle, transmits a message representative of the degradation of the battery.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle from a second electric vehicle, based at least in part on state of charge and/or state of health monitoring at one or more of the cell-level or pack-level. An exemplary method can comprise identifying, by a system operatively coupled to a processor, based on a comparison of a metric to a historical metric for vehicle performance, a current event that is defined by the metric as leading to degradation of a plurality of battery cells of a vehicle system, upon identifying the current event, determining, by the system, a subset of the plurality of battery cells that is beyond a threshold for remediation, and continuing to use, by the system, the subset such that the subset degrades towards end of life of the subset.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Automated vehicle battery health optimization (e.g., using a computerized tool) is enabled. For example, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a battery health component that, using a defined battery health algorithm and a battery sensor, determines degradation of a battery of a vehicle, and an execution component that, based on the degradation of the battery and a traveling direction of a user of the vehicle, external to the vehicle, facilitates an action determined to mitigate further degradation of the battery.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle. An exemplary method can comprise charging, by a system operatively coupled to a processor, a primary power source of a first vehicle using a primary power source of a second electric vehicle. The charge can comprise a physical coupling or a wireless charge between the primary power sources of the first electric vehicle and the second electric vehicle.

Abstract: A battery module with removable cells and a battery management system or charging station system that determines the number of cells to use for a given trip. Thus, the system receives trip information (starting point, destination, stops, etc.) and determines the number of cells required for the trip, optionally based on traffic conditions, weather, prior driving habits, cell state of charge (SOC), cell state of health (SOH), and the like. The system can recommend which cells to leave in the vehicle, which cells to remove from the vehicle, which cells to place in the vehicle, which cells to charge, and the like, via a visual indicator. Importantly, a number of cells actually required for the trip can be suggested, without extra cells, such that extra weight in terms of unused cells may be removed from the vehicle, thereby increasing trip efficiency.

Abstract: A battery system that collects and considers multiple variables to provide optimal charge and range information, either on a battery module or per cell basis. This system may provide the required charge time to complete a trip and provides a minimum SOC, which may be achieved by charging or via cell swapping. Variables considered may include expected traffic conditions for a trip, expected temperature for a trip, expected wind conditions for the trip, expected trip topography, etc., all gathered prior to the start of and/or updated during the trip. Based on this smart range estimation, the system can provide the cell swaps required, the number cells to charge, the expected charging time required, and alert the user if charge/swap related stops will be required during the trip in order to successfully complete the trip.

Abstract: A battery charging system with enhanced time-based charging and coupling detection, as well as battery health monitoring and battery cell selection. A user provides a time available for charging to the vehicle or a mobile device and indirectly to a charging station, or the charging station directly. The time available for charging, as well as battery health information, is shared with the charging station when the charging station detects coupling of the associated connector/coupler to the vehicle, or when the vehicle is detected within a predetermined proximity of the charging station. Subsequently, a standard charging power may be utilized or a charging power may be selected and utilized such that enhanced or optimized charging can be provided for the available time period. A battery control unit identifies degraded or faulted battery cells and charging of these battery cells is avoided or deprioritized.

Abstract: A battery charging system with enhanced time-based charging and coupling detection. A user provides a time available for charging to a control unit of the vehicle, a mobile device of the user, or a control unit of a charging station directly. In the case that the time available for charging is provided to the control unit of the vehicle or the mobile device of the user, this information is then shared with the control unit of the charging station when the control unit of the charging station detects coupling of the associated connector/coupler to the vehicle, or when the vehicle is detected within a predetermined proximity of the charging station. When the vehicle is connected to the charging station and charging commences, a standard charging power may be utilized or a charging power may be selected and utilized such that enhanced charging can be provided in the available time period.

Abstract: A battery charging system with enhanced time-based charging and coupling detection, as well as battery health monitoring. A user provides a time available for charging to the vehicle, a mobile device, or a charging station directly. In the case that the time available for charging is provided to the vehicle or the mobile device, this information, as well as battery health information, is then shared with the charging station when the charging station detects coupling of the associated connector/coupler to the vehicle, or when the vehicle is detected within a predetermined proximity of the charging station. When the vehicle is connected to the charging station and charging commences, a standard charging power may be utilized or a charging power may be selected and utilized such that enhanced or optimized charging can be provided for the available time period.