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 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 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 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 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: 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: Techniques are described for tracking information regarding the condition history of a vehicle battery using blockchain technology. In an example embodiment, a device is provided that comprises one or more sensors, a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprising a sensing component that receives, via the one or more sensors, sensor data regarding a condition of a vehicle battery; and a communication component that sends the sensor data to a remote device in response to capture of the sensor data by the one or more sensors. In various implementations, the remote device comprises a blockchain device part of a blockchain network, and wherein the remote device records the sensor data using the blockchain network.

Abstract: Techniques are described for tracking information regarding the condition history of a vehicle battery using blockchain technology. In an example embodiment, a system comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise a communication component that receives vehicle information and interaction data over a period of time prior, and a recording component that records the vehicle information and the interaction data in a blockchain stored on a blockchain network as the vehicle information is received over the period of time.

Abstract: Techniques are described for tracking information regarding the condition history of a vehicle battery using blockchain technology. In an example, a system comprises a memory that stores computer-executable components, and a processor that executes the computer-executable components stored in the memory. The computer-executable components comprise a recording component that records vehicle battery information in a blockchain stored on a blockchain network in response to reception of respective portions of the vehicle battery information over a period of time prior to installation of the vehicle battery within a vehicle.

Abstract: Techniques are described for tracking information regarding the condition history of a vehicle battery using blockchain technology. In an example embodiment, a system comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise a communication component that receives connectivity information over a period of time prior, and a recording component that records connectivity information in a blockchain stored on a blockchain network as the vehicle information is received over the period of time.

Abstract: Techniques are described for tracking information regarding the condition history of a vehicle battery using blockchain technology. In an example embodiment, a system, comprises 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 communication component that receives vehicle information over a period of time; and a recording component that records the vehicle information in a blockchain stored on a blockchain network as the vehicle information is received over the period of time.

Abstract: Techniques are described for tracking information regarding the condition history of a vehicle battery using blockchain technology. In an example embodiment, a system comprises a vehicle battery, and one or more sensors integrated on or within the vehicle battery that capture sensor data regarding a condition of the vehicle battery over a period of time prior to installation of the vehicle battery within a vehicle. The vehicle battery further comprises a communication component that sends the sensor data to a remote device in response to capture of the sensor data by the one or more sensors. In various implementations, the remote device comprises a blockchain device part of a blockchain network, and wherein the remote device records the sensor data using the blockchain network.

Abstract: Techniques are described for tracking information regarding the condition history of a vehicle battery using blockchain technology. In an example embodiment, a system comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise a communication component that receives battery information regarding a condition of a vehicle battery over a period of time prior to installation of the vehicle battery in a vehicle, and a recording component that records the vehicle battery information in a blockchain stored on a blockchain network as the vehicle battery information is received over the period of time.

Abstract: Techniques are described for tracking information regarding the condition history of a vehicle battery using blockchain technology.

Abstract: Techniques are described for tracking information regarding the condition history of a vehicle battery using blockchain technology. In an example embodiment, a system, comprises 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 communication component that receives vehicle information over a period of time; and a smart contract component that controls execution of smart contracts defined on a blockchain stored on a blockchain network based on the vehicle information stored in the blockchain as the vehicle information is received over the period of time.

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: 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: Systems/techniques that facilitate peer-to-peer vehicular provision of artificially intelligent traffic analysis are provided. In various embodiments, a system can be onboard a vehicle. In various aspects, the system can capture, via one or more external sensors of the vehicle, roadside data associated with a road on which the vehicle is traveling. In various instances, the system can localize, via execution of a deep learning neural network, an unsafe driving condition along the road based on the roadside data. In various cases, the system can broadcast, via one or more peer-to-peer communication links, an electronic alert regarding the unsafe driving condition to one or more other vehicles traveling on the road.