A system for promoting lending and borrowing of portable electrical energy storage devices is provided. The system acquires status information indicating an amount of stored electrical energy of the portable electrical energy storage devices and position information indicating a geographic position of it. The system extracts, from a user database, position information or a communication address of a portable electrical energy storage device of which stored electrical energy is sufficient on the basis of the status information, and extracts, from the user database, a communication address of a user of a portable electrical energy storage device of which stored electrical energy is insufficient on the basis of the status information, and transmits information including extracted position information or a extracted communication address.

An energy storage system includes an energy storage component. It further includes heat generating electronics. It further includes a fluid circulator that transfers fluid between the energy storage component and the heat generating electronics. The circulator is controlled to alternatively transfer fluid from the battery to the heat generating electronics or from the heat generating electronics to the energy storage component based at least in part on a thermal state of the energy storage system.

Systems, methods, and devices are provided for normalized capacity estimation for generating a normalized capacity estimate for an energy storage device. The normalized capacity estimation system comprises a voltage sensor for sensing a voltage associated with the energy storage device and generating a voltage signal; a current sensor for sensing a current associated with the energy storage device and generating a current signal; an operational dynamic model module to generate an operational dynamic model associated with the energy storage device; a nominal OCV curve module to generate a nominal OCV curve associated with the energy storage device; a nominal capacity module to generate a nominal capacity associated with the energy storage device; and a normalized capacity estimation module configured to receive the voltage signal, the current signal, the operational dynamic model, the nominal OCV curve, and the nominal capacity and to generate the normalized capacity estimate based on the voltage signal, the current signal, the operational dynamic model, the nominal OCV curve and the nominal capacity; wherein the normalized capacity estimate is generated from the difference between two distinct OCV predictions and filtered based upon (1) the difference between the two distinct OCV predictions and a difference threshold and (2) the gradient of OCV curve at the two distinct OCV predictions and a gradient threshold.

Systems, methods, and devices are provided for normalized capacity estimation for generating a normalized capacity estimate for an energy storage device. The normalized capacity estimation system comprises a voltage sensor for sensing a voltage associated with the energy storage device and generating a voltage signal; a current sensor for sensing a current associated with the energy storage device and generating a current signal; an operational dynamic model module to generate an operational dynamic model associated with the energy storage device; a nominal OCV curve module to generate a nominal OCV curve associated with the energy storage device; a nominal capacity module to generate a nominal capacity associated with the energy storage device; and a normalized capacity estimation module configured to receive the voltage signal, the current signal, the operational dynamic model, the nominal OCV curve, and the nominal capacity and to generate the normalized capacity estimate based on the voltage signal, the current signal, the operational dynamic model, the nominal OCV curve and the nominal capacity; wherein the normalized capacity estimate is generated from the difference between two distinct OCV predictions and filtered based upon (1) the difference between the two distinct OCV predictions and a difference threshold and (2) the gradient of OCV curve at the two distinct OCV predictions and a gradient threshold.

A battery diagnosis method according to the present disclosure includes a first generation step of generating a second profile by dividing a first profile representing a correlation between a State of Charge (SOC) and a voltage of a battery into a first portion corresponding to a first material and a second portion corresponding to a second material and removing the first portion from the first profile; a second generation step of generating a third profile by estimating a correlation between the SOC and voltage of the battery in an entire SOC range of the battery based on the second profile; and a diagnosis step of diagnosing the battery based on a calculated capacity, wherein the capacity is provided by the first material, among a total capacity provided by an electrode active material based on the third profile.

A battery diagnosis method according to the present disclosure includes a first generation step of generating a second profile by dividing a first profile representing a correlation between a State of Charge (SOC) and a voltage of a battery into a first portion corresponding to a first material and a second portion corresponding to a second material and removing the first portion from the first profile; a second generation step of generating a third profile by estimating a correlation between the SOC and voltage of the battery in an entire SOC range of the battery based on the second profile; and a diagnosis step of diagnosing the battery based on a calculated capacity, wherein the capacity is provided by the first material, among a total capacity provided by an electrode active material based on the third profile.

The present document describes techniques for extending battery life after long-term and high-temperature storage. These techniques delay charging of a battery to detect battery conditions and determine whether the battery was exposed to high temperatures while in an idle or low-power state for a long period of time. These techniques include a methodology to relax and refresh an anode surface of the battery, after high-temperature storage, through distinct and tailored discharges prior to beginning a normal charge profile. These techniques can be applied to a wide range of chemistry platforms, which may have kinetic (Li-ion) limitations, to extend the longevity of the battery by reducing lithium plating and capacity degradation caused by long-term, high-temperature storage.

The present document describes techniques for extending battery life after long-term and high-temperature storage. These techniques delay charging of a battery to detect battery conditions and determine whether the battery was exposed to high temperatures while in an idle or low-power state for a long period of time. These techniques include a methodology to relax and refresh an anode surface of the battery, after high-temperature storage, through distinct and tailored discharges prior to beginning a normal charge profile. These techniques can be applied to a wide range of chemistry platforms, which may have kinetic (Li-ion) limitations, to extend the longevity of the battery by reducing lithium plating and capacity degradation caused by long-term, high-temperature storage.

The invention discloses method and apparatus for dynamic management and control of a lithium battery energy storage system and an electronic device. A battery management system (BMS) is configured to read a present operation data stream of each cell. A diagnosis apparatus is configured to extract a key battery parameter of said each cell from the present operation data stream and consistency thereof, compare the key battery parameter with historical data to determine whether a battery module fails, generate a control parameter according to a diagnosis result, and transmit the present operation data stream to an intelligent gateway and the control parameter to the BMS and an energy management system (EMS), to cause the EMS to dynamically change a charging/discharging control parameter for the battery energy storage system according to a present state of the battery energy storage system.

A vehicle battery diagnosis method and system are provided. A controller completes charging a battery by stopping supply of current from a charger to the battery. The controller measures a relaxation voltage corresponding to a decrement of a voltage of the battery during a predetermined time period directly after the charging of the battery is completed. The controller estimates the state of health (SoH) of the battery in accordance with the relaxation voltage.