A battery management system (BMS) includes at least one sub-BMS and a main BMS. The at least one sub-BMS measures information about a battery, and generates an activation signal according to operating state. The main BMS receives the activation signal and determines the operating state of the at least two sub-BMSs. If the at least two sub-BMSs normally operate, the main BMS generates a synchronization signal and transfers the same to the sub-BMSs. The at least one sub-BMS measures the information about the battery according to the synchronization signal.

Battery management system and driving method thereof

An expert system manages a power grid wherein charging stations are connected to the power grid, with electric vehicles connected to the charging stations, whereby the expert system selectively backfills power from connected electric vehicles to the power grid through a grid tie inverter (if present) within the charging stations. In more traditional usage, the expert system allows for electric vehicle charging, coupled with user preferences as to charge time, charge cost, and charging station capabilities, without exceeding the power grid capacity at any point. A robust yet accurate state of charge (SOC) calculation method is also presented, whereby initially an open circuit voltage (OCV) based on sampled battery voltages and currents is calculated, and then the SOC is obtained based on a mapping between a previously measured reference OCV (ROCV) and SOC. The OCV-SOC calculation method accommodates likely any battery type with any current profile.

Smart electric vehicle (ev) charging and grid integration apparatus and methods

Carbon impression and the growing reliance on fossil fuels are two unique concerns for world emission regulatory agencies. These issues have placed electric vehicles (EVs) powered by lithium-ion batteries (LIBs) on the forefront as alternative vehicles. The LIB has noticeable features, including high energy and power density, compared with other accessible electrochemical energy storage systems. However, LIB is exceedingly nonlinear and dynamic; therefore, it generally requires an accurate online state-of-charge (SOC) estimation algorithm for real-time applications. Accurate battery modelling is an essential and primary requirement of online SOC estimation to simulate the dynamics. In this paper, different modelling methods suitable for online SOC estimation are discussed, and four groups of available online SOC estimation approaches are reviewed. After the general survey, the study explores the available Kalman filter (KF) family algorithms suitable for model-based online SOC estimation. The mathematical process and limitations of different KF family algorithms are analysed in depth and discussed. Moreover, challenging steps in the implementation of KF family algorithms in model-based online SOC estimation processes, such as selection of battery model, initial SOC and filter tuning, are elaborated for the efficient development of a battery management system, especially for EV application. The on-going research is propelled by KF-based online SOC estimation approaches distinctly emphasised through reviewing various studies for future research progression.

Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

Provided is an electric storage device including a positive electrode, a negative electrode, a separator disposed between the positive electrode and the negative electrode, a nonaqueous electrolyte solution in which an electrolyte is dissolved in a nonaqueous solvent, wherein an inorganic filler layer is disposed between the positive electrode and the negative electrode and the nonaqueous electrolyte solution contains lithium difluorobis(oxalato)phosphate.

Electric storage device

An automotive vehicle electrical system diagnostic apparatus includes first and second electrical connections configured to electrically couple to an electrical system of an automotive vehicle which includes a battery. Digital samples are obtained during operation of the vehicle which are related to the system. The digital samples are stored in memory.

Automotive vehicle electrical system diagnostic device

A Battery Management System (BMS) and a battery management method include a sensing unit to measure a battery terminal voltage, current, and temperature, and a Main Control Unit (MCU) to compare the measured battery terminal voltage, current, and temperature to a State of Charge (SOC) reset condition and to reset a battery estimate SOC according to the comparison result. The MCU resets the battery estimate SOC to a first reset SOC when the SOC reset condition corresponds to a first SOC and reset the battery estimate SOC at a second reset SOC when the SOC reset condition corresponds to a second SOC.

Battery Management System (BMS) and driving method thereof

A battery management system that estimates an internal impedance of a battery, a method of driving the same, a device that estimates an internal impedance of a battery, and a method of estimating the internal impedance of a battery. A method of driving a battery management system that estimates the internal impedance of a battery including a plurality of cells includes generating a battery equivalent model of the battery, receiving a terminal voltage signal and a charge and discharge current signal of the battery, and generating a first discrete signal corresponding to the terminal voltage signal of the battery and a second discrete signal corresponding to the charge and discharge current signal of the battery, and filtering the first discrete signal and the second discrete signal according to a frequency range corresponding to the battery equivalent model so as to estimate the internal impedance of the battery. The device that estimates an internal impedance of a battery filters the first discrete signal and the second discrete signal according to a frequency range corresponding to the battery equivalent model so as to estimate the internal impedance of the battery.

Battery management system and method of driving the same

A battery management system and a method of operating the same includes a plurality of battery cells constituting one pack and connected to a battery having at least one pack, and determines an estimated state of charge (SOC) of the battery The battery management system determines whether or not a pack current flows, and controls a reset of an SOC depending on the determination result The battery management system sets an OCV idle period associated with a temperature of the battery, and compares the idle period with a time for which the current of the battery does not flow, and sets the reset OCV depending on the comparison result The battery management system resets the estimated SOC as the reset SOC associated with the reset OCV

Battery management system and method of operating same

A battery management system using a measurement model modeling a battery, and estimating a SOC (state-of-charge) of the battery, and a battery driving method thereof. The battery management system is constructed with a sensor, a predictor, a data rejection unit, and a measurement unit. The sensor senses a charging and discharging current flowing through the battery, a temperature of the battery, a terminal voltage of the battery. The predictor counts the charging and discharging current, and estimates the state-of-charge of the battery. The data rejection unit generates information associated with an error generated from the measurement model, as a function of at least one of the battery temperature, the charging and discharging current, the state-of-charge, and a dynamic of the charging and discharging current. The measurement unit corrects the estimated state-of-charge of the battery, using the measurement model and the information associated with the error.

Young-Jo Lee

Papers

Battery management system and driving method thereof

Battery Management System (BMS) and driving method thereof

Battery management system and method of driving the same

Battery management system and method of operating same

Method for estimating state of charge of battery, battery management system using same, and driving method thereof