A method for predicting a state-of-power, SoP, of an electric energy storage system, ESS, comprising at least two battery units electrically connected in parallel. The method includes obtaining operational data from the at least two battery units of the ESS during operation of the ESS; computing the state-of-power of the ESS based on the obtained operational data and by using an algorithm based on a system-level model of the ESS, wherein the system-level model of the ESS takes into account on one hand each one of the at least two battery units of the ESS, and on the other hand at least one electrical connection between the at least two battery units, and wherein the system-level model of the ESS further takes into account a dynamic parallel load distribution between the at least two battery units.

The invention relates to an electric battery (1) for a motor vehicle which is electrically or partly electrically driven or a movable or stationary unit, having a battery housing (5) and a plurality of battery cells (2) arranged therein. The aim of the invention is to allow such an electric battery (1) to be produced with minimal costs and technical structural complexity while still having a high degree of operational reliability. This is achieved in that the battery housing (5) is made of an expanded or foamed plastic.

The invention relates to an energy storage comprising a plurality of series connectable energy modules connected to a string via a plurality of switches. Wherein a string controller controls which of the energy modules that are part of a current path through the string by control of the status of the switches. An energy storage monitoring system is monitoring an energy storage element operating parameter of an energy module, the energy storage monitoring system comprises: a current sensor and a plurality of energy module print. The plurality of energy module prints establishes an energy module operating parameter of the associated energy module. The current sensor establishes the current in the current path. The string controller is configured for by-passing an energy module based on information of status of the switches, the measured current in the current path and the battery operating parameter measured at the energy modules.

A power conversion system for autonomous driving and a method for controlling the same, includes a first battery and a second battery; an LDC configured to convert the magnitude of a voltage, output the voltage, and charge the first battery with an output of the LDC; an autonomous driving load electrically connected to the LDC and the first battery and configured to be provided with a power voltage from the LDC or the first battery; and an autonomous driving controller electrically connected to the LDC, the first battery, and the second battery and configured to be provided with a power voltage from one of the LDC, the first battery, or the second battery, wherein the LDC is configured to determine the output of the LDC based on control parameters including the load amount of the autonomous driving load and the state of charging of the first battery and the state of charging of the second battery.

A vehicle-mounted device for detecting battery state comprises a controller, a load unit, and a switch unit. The load unit is coupled to the battery, the switch unit is coupled between the battery and the load unit. The controller can control the switch unit to disconnect or connect the battery and the load unit at a predefined frequency. The controller can switch the load unit to generate ripple voltage on the battery, and measure the ripple voltage of each battery cell, an abnormal state of a battery can be determined according to the ripple voltage of each battery cell.

A system for emergency shutdown of an electric charger in response to a disconnection is presented. The system includes a computing device, wherein the computing device is configured to receive a sensor datum from a sensor, determine a disruption element between a charging connector and an electric vehicle as a function of the sensor datum, and initiate a disconnection protocol as a function of the disruption element.

A temperature control device for temperature control of a battery system has at least one battery subsystem. The temperature control device has a temperature control line for conducting a temperature control fluid and a pump device for generating a flow of the temperature control fluid in the temperature control line at least in a first flow direction. The temperature control line has at least one temperature control section which can be thermally conductively connected to the at least one battery subsystem for supplying and/or discharging thermal energy to or from the battery subsystem.

A method, a device and a system for vehicle power battery auxiliary equilibrium is provided. The method includes: determining a degree value of a power battery inconsistency problem by a cloud platform according to data of the power battery; and according to the degree value of the power battery inconsistency problem, triggering by the cloud platform an auxiliary equilibrium charging strategy to be issued to a charging device, so that the charging device charges the power battery according to the issued auxiliary equilibrium charging strategy. According to the embodiments of the present application, it is possible to assist the equilibrium function of a vehicle-side battery management system, repair the power battery inconsistency problem, increase the full-power mileage of the electric vehicles, extend the service life of the power battery, and reduce the cost of using the vehicle. It does not affect the user’s daily vehicle use experience.

A system and method for its use for determining a suitable battery pack combination configured for use in an electric aircraft, the system including at least a processor connected to a sensor and a memory containing instructions configuring the at least a processor to receive battery pack status data for each battery pack of a plurality of battery packs, generate a battery pack diagnostic datum for each battery pack of the plurality of battery packs as a function of the battery pack status data of each battery pack of the plurality of battery packs, and determine a suitability of the plurality of battery packs as a function of each battery pack diagnostic datum for each battery pack of the plurality of battery packs.

A system for monitoring moisture content in a battery pack of an electric aircraft. The system includes a at least an energy storage element, a user interface configured to display moisture content datum to a user, and at least a sensor. At least a sensor is configured detect a moisture content datum of the energy storage element and communicate with the energy storage element. The system also includes a computing device communicatively connected to the at least a sensor. That computing device is configured to generate a notification as a function of the moisture content datum and transmit the notification to a user interface.