A highly safe power storage system is provided. If n (n is an integer over or equal to three) secondary batteries are used in a vehicle such as an electric vehicle, a circuit configuration is used with which the condition of each secondary battery is monitored using an anomaly detection unit; and if an anomaly such as a micro-short circuit is detected, only the detected anomalous secondary battery is electrically separated from the charging system or the discharging system. At least one microcomputer monitors anomalies in n secondary batteries consecutively, selects the anomalous secondary battery or the detected secondary battery which causes an anomaly, and gives an instruction to bypass the secondary battery with each switch.

To detect connection between a secondary battery and a charger, determine whether or not a state of the secondary battery is stabilized in a case of detecting the connection, measure a first open circuit voltage that is an open circuit voltage before charging of the secondary battery in a case of determining that a state of the secondary battery is stabilized, instruct the charger to start charging of the secondary battery, detect end of charging of the secondary battery, determine whether or not a state of the secondary battery is stabilized in a case of detecting end of charging of the secondary battery, measure a second open circuit voltage that is an open circuit voltage after charging of the secondary battery in a case of determining that a state of the secondary battery is stabilized, and notify the user of end of charging of the secondary battery.

To detect connection between a secondary battery and a charger, determine whether or not a state of the secondary battery is stabilized in a case of detecting the connection, measure a first open circuit voltage that is an open circuit voltage before charging of the secondary battery in a case of determining that a state of the secondary battery is stabilized, instruct the charger to start charging of the secondary battery, detect end of charging of the secondary battery, determine whether or not a state of the secondary battery is stabilized in a case of detecting end of charging of the secondary battery, measure a second open circuit voltage that is an open circuit voltage after charging of the secondary battery in a case of determining that a state of the secondary battery is stabilized, and notify the user of end of charging of the secondary battery.

Software-configurable battery monitoring and management systems and methods provide flexibility in selecting the location where the highest voltage in a block of cells is sensed so as to support control boards to connect to any number of cells. In certain embodiments, battery management is accomplished by measuring cell voltages in a block of cells in a battery stack, determining whether the battery stack comprises a bus bar, determining a sum of the individual cell voltages, and comparing the voltage at the top of a battery stack, including any bus bar, to the sum of the individual cell voltages to obtain a comparison result that may be used to perform a diagnostic procedure.

Software-configurable battery monitoring and management systems and methods provide flexibility in selecting the location where the highest voltage in a block of cells is sensed so as to support control boards to connect to any number of cells. In certain embodiments, battery management is accomplished by measuring cell voltages in a block of cells in a battery stack, determining whether the battery stack comprises a bus bar, determining a sum of the individual cell voltages, and comparing the voltage at the top of a battery stack, including any bus bar, to the sum of the individual cell voltages to obtain a comparison result that may be used to perform a diagnostic procedure.

A battery state of health estimation method, where an aging state of any one or more battery cells in a battery pack can be estimated. The method may be applied to an intelligent vehicle, a new energy vehicle, and a connected vehicle. When the battery pack is unavailable, an aging state of each battery cell is estimated by using the solution provided in the present disclosure. An obtained estimation result can provide a recycling guide for the battery cell to improve secondary utilization of the battery cell in the battery pack.

A battery state of health estimation method, where an aging state of any one or more battery cells in a battery pack can be estimated. The method may be applied to an intelligent vehicle, a new energy vehicle, and a connected vehicle. When the battery pack is unavailable, an aging state of each battery cell is estimated by using the solution provided in the present disclosure. An obtained estimation result can provide a recycling guide for the battery cell to improve secondary utilization of the battery cell in the battery pack.

A monitor circuit for use in a management system with modular subsystems includes: a sensor configured to measure parameter values of a monitored electrical component as a function of time; and storage coupled to the sensor and configured to store the parameter values. The monitor circuit also includes frame preparation circuitry coupled to the storage and configured to prepare frames that include the parameter values, wherein the prepared frames vary in length as a function of time.

A monitor circuit for use in a management system with modular subsystems includes: a sensor configured to measure parameter values of a monitored electrical component as a function of time; and storage coupled to the sensor and configured to store the parameter values. The monitor circuit also includes frame preparation circuitry coupled to the storage and configured to prepare frames that include the parameter values, wherein the prepared frames vary in length as a function of time.

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.