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: 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: 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: 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: 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 charging system with enhanced time-based charging, which may be static or dynamic. A user provides a time available for charging a vehicle to a control unit of the vehicle, a mobile device of the user, or a control unit of a charging station directly. In any case, this information is received by the control unit of the charging station via a wired connection, a wireless connection, a near field connection, a cloud network, or directly. When the vehicle is connected to the charging station and charging commences, a charging power is selected and utilized such that enhanced charging can be provided in the available time period, illustratively providing as much charge as possible in the available time period. This charging power may be modified responsive to user changes to the available charging time while charging is ongoing.

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, 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.

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. 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 system that, based upon the state of charge (SOC), state of health (SOH), and discharge profile of a battery module, or removable cells of the battery module, apprises the user of optimal or allowable storage temperature and time before the charge and range of a fully charged battery module or removable cell is degraded. In the event that this optimal or allowable storage temperature or time is deviated from or exceeded, the battery system recalculates the necessary charging power and time to meet the original range calculation and satisfy original trip requirements. This may be utilized for cells stored both in the vehicle and cells stored remote from the vehicle.

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.

Abstract: The present disclosure relates to waveguide band-stop filter arrangement adapted to be connected to a waveguide transmission line at a filter interface, where the waveguide transmission line is adapted for a main propagation extension. The band-stop filter arrangement comprises a first pair of cavities, where each cavity in the first pair, each first pair cavity, comprises a corresponding inductive first pair aperture arrangement that is adapted to connect the corresponding first pair cavity to the waveguide transmission line. The first pair cavities are positioned adjacent each other along a stacking extension perpendicular to the main propagation extension such that they share a first common wall and are adapted to be positioned adjacent the waveguide transmission line. The first pair of cavities comprises a first capacitive aperture arrangement in the first common wall, mutually connecting the first pair cavities.

Abstract: The urisheath provided here includes an element of thin material (a strip) that allows at least two lengths of it to run in a parallel fashion down either side of the sheath. The is obtained by injection molding the strip in liquid silicone in the silicone injection molding process for the urisheath, either by one, two or more component injection molding. The injection molding takes place in an injection molding form for a urisheath with a cavity for the body portion and a cavity for the strip portion wherein the cavity for the body portion is connected to the cavity for the strip portion creating an attachment zone between the strip and the sheath.

Abstract: The urisheath provided here includes an element of thin material (a strip) that allows at least two lengths of it to run in a parallel fashion down either side of the sheath. The is obtained by injection moulding the strip in liquid silicone in the silicone injection moulding process for the urisheath, either by one, two or more component injection moulding. The injection moulding takes place in an injection moulding form for a urisheath with a cavity for the body portion and a cavity for the strip portion wherein the cavity for the body portion is connected to the cavity for the strip portion creating an attachment zone between the strip and the sheath.