Volvo Car Corporation

Klas Roland Persson Signell

Konstantinos Chatziioannou

Andreas Martin Viktor Ropel

Ben Peter Lloyd

Matthias Yannick Philippe Le Saux

Egoi Sanchez Basualdo

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.

Automated vehicle battery health optimization

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.

Tracking vehicle battery condition history using blockchain technology

A method and system for collecting and reporting evidence following a vehicle incident. The system is operable for detecting and determining a direction associated with the vehicle incident and automatically and contemporaneously requesting and receiving related information from the vehicle itself, potentially from any other vehicle involved, and/or from any surrounding devices, including vehicles, mobile devices, and/or infrastructure devices, that may have captured the vehicle incident.

Method and system for collecting and reporting evidence following a vehicle incident

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.

Vehicle battery health optimization and communication

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.

Intelligent vehicle battery with blockchain connectivity

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.

Intelligent battery system

A method and system for collecting evidence following a vehicle incident. The system is operable for detecting and determining a direction associated with the vehicle incident and automatically and contemporaneously requesting and receiving related information from the vehicle itself, potentially from any other vehicle involved, and/or from any surrounding devices, including vehicles, mobile devices, and/or infrastructure devices, that may have captured the vehicle incident.

Method and system for collecting evidence following a vehicle incident

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.

Vehicle battery smart range estimation and removable battery cell storage optimization

The navigation system of the present disclosure is configured to receive a short command from a vehicle occupant and extrapolate relevant details associated with the command using an artificial intelligence (AI)/machine learning (ML) algorithm. These relevant details may be obtained from a mobile device associated with the occupant and in communication with the navigation system, an external database in communication with the navigation system, etc. Communication links may be wired, wireless through the cloud, near field, etc. Further, each occupant's identity may be determined via near field key fob recognition, microphone voice recognition, camera facial recognition, or via the detection of the mobile device associated with the occupant. Levels of complexity may be added, with multiple occupants being identified and issuing different commands, multiple external information sources subsequently being consulted, and multiple sub-routes to multiple destinations being planned and followed.

Growing community of inventors

Göteborg, Sweden

Klas Roland Persson Signell