Abstract: 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.

Abstract: A charging apparatus for a vehicle where a terminal (1, FIG. 2) is connected to at least one kerbside power/data unit (9) to provide a power (4) and a data connection (5) to the power/data unit (9), the power/data unit (9) being connected to a nearby vehicle (17) to provide power to charge the vehicle (17) and receive data from the vehicle (17). The fact that the kerbside power/data unit (9) can charge a vehicle (17) using power supplied from a terminal (1, FIG. 2) and can transmit data from the vehicle (17) to the terminal (1, FIG. 2) provides the power and data requirements for connected autonomous vehicles at a kerbside location.

Abstract: A prediction method of battery health includes: obtaining an environment temperature, and a discharge capacity and an operating parameter of a battery; determining an estimated operating parameter in a preset temperature at the discharge capacity according to the environment temperature, the discharge capacity and the operating parameter; determining an estimated capacity of the battery according to the estimated operating parameter; and determining a health level of the battery according to the estimated capacity of the battery and a reference capacity, at the discharge capacity of the battery.

Abstract: A method for state-of-charge monitoring of an AC battery, in which the battery includes a central controller having a scheduler, measuring sensors and at least two battery modules. The at least two battery modules each have at least one energy storage element and at least two power semiconductor switches, which connect the respective battery module in series or in parallel or in bypass with another battery module. The battery is controlled by the central controller, and a respective switching state of the at least two battery modules is preset by the scheduler. The state-of-charge monitoring is implemented by a control program within the scheduler. During operation of the battery, a state of each individual energy storage element is monitored by virtue of a respective current flow at a respective energy storage element being determined using continued evaluation of measured values of preset battery parameters which are detected by measuring sensors.

Abstract: Presented are control systems for operating rechargeable electrochemical devices, methods for making/using such systems, and vehicles with intelligent battery charging and charging behavior feedback capabilities. A method of operating a rechargeable battery includes an electronic controller receiving battery data from a battery sensing device indicative of a battery state of charge (SOC). Using this battery data, the controller determines a number of low SOC excursions at which the battery SOC is below a predefined low SOC threshold and a number of high SOC excursions at which the battery SOC exceeds a predefined high SOC threshold. The controller then determines if the number of low SOC excursions exceeds a predefined maximum allowable low excursions and/or the number of high SOC excursions exceeds a predefined maximum allowable high excursions. If so, the controller responsively commands a resident subsystem to execute a control operation that mitigates degradation of the rechargeable battery.

Abstract: A battery system capable of avoiding an over charge with a simple sensor element comprises: a battery module including a battery pack A including a plurality of battery cells connected in series, and a battery pack B including a plurality of battery cells connected in series, connected in parallel, a monitoring unit configured to monitor a condition of the battery module, and a control unit configured to control at least a charge of the battery module. The monitoring unit includes: a first current sensor configured to measure a total current IA of the battery pack A, and a second current sensor configured to measure a total current IB of the battery pack B. The control unit calculates a determining value based on the total current IA and determines an occurrence of an over charge based on the determining value.

Abstract: A processor-implemented battery management method includes: estimating state information of a plurality of battery cells in a battery pack using a first battery state estimation model; determining whether state information of at least one of the plurality of battery cells is to be estimated using a second battery state estimation model; and estimating the state information of the at least one battery cell using the second model, in response to a result of the determining being that the state information of the at least one battery cell is to be estimated using the second model.

Abstract: An arrangement planning device includes: a collection unit that collects state information indicative of a present-time state of each of storage batteries; a prediction calculation unit that calculates a performance indicator of a degree of wear of each of the storage batteries from the state information; an amount-of-operation acquisition unit that obtains a required amount of operation of the storage batteries at each of places of use, the storage batteries being to be placed in the places of use; a policy acquisition unit that obtains an operation policy for each of the storage batteries; and a placement location determination unit that determines a placement location for each of the storage batteries from the places of use, wherein the placement location determination unit determines the placement location for each of the storage batteries based on the required amount of operation, the performance indicator, and the operation policy.

Abstract: A method for determining an internal-resistance based state-of-health of a battery in a device includes determining the internal-resistance based state-of-health of the battery using a hybrid state-of-health model including a physical ageing model and a correction model by (i) determining, based on an electrochemical battery model, a physical state-of-health according to one or more operating parameters of the battery using the physical ageing model, (ii) mapping operating features derived from the one or more operating parameters onto a correction parameter using the correction model that includes a data-based configuration, and (iii) applying the correction parameter to the physical state of health to determine the internal-resistance based state-of-health. The method further includes determining a modeled battery voltage, and determining a characteristic of the modeled battery voltage using an adaptation model.

Abstract: The present disclosure relates to an apparatus for estimating a battery free capacity, and more particularly, an apparatus for estimating a free capacity of a half cell of a battery. According to the present disclosure, it is possible to accurately estimate a free capacity of a half cell without inserting a reference electrode by revising an entire SOC region of a half cell by using an inflection point detected based on SOC-voltage data of a full cell and a half cell of the battery, respectively, and then estimating SOC-voltage data based on a SOC difference between the entire SOC regions before and after the revision.

Abstract: In some embodiments, an electronic device displays one or more representations of power usage of the electronic device, including across various periods of time and subperiods of time within those periods. In some embodiments, the displayed information reflects power usage both for periods of the display being on and periods of the display being off. In some embodiments, the displayed information includes power usage attributed to various mobile applications running on the electronic device. In some embodiments, the electronic device displays recommendations to reduce the usage of power by the electronic device, which a user has the option of applying. In some embodiments, the electronic device displays prose insight into power usage, indicating causes of the power usage.

Abstract: A method and a system of lithium battery state of charge (SOC) estimation based on second-order difference particle filtering belonging to the technical field of battery management are provided. The method includes the following steps: building a second-order RC battery model of a lithium battery; performing model parameterization by using a least squares algorithm with a forgetting factor; and generating an importance density function through a second-order central difference Kalman filtering (SCDKF) algorithm, improving a particle filtering algorithm to obtain a second-order difference particle filtering (SCDPF) algorithm, and performing SOC estimation on a lithium battery by using the SCDPF. The estimation method provided by the disclosure is accurate and has greater estimation accuracy than an unscented particle filtering algorithm (UPF), an unscented Kalman filtering algorithm (UKF), and an extended Kalman filtering algorithm (EKF). An SOC value of the lithium battery may thus be accurately estimated.

Abstract: This disclosure provides a method and an apparatus for correcting a state of health of a battery, a battery management system, and a storage medium, and relates to the field of battery technologies. The method includes: determining whether a current voltage value of a battery cell is within a correction OCV section of the battery cell; if yes, using the current voltage value of the battery cell as a correction voltage value; and acquiring an SOC correction value, and correcting a state of health (SOH) of the battery cell. According to the method, the apparatus, the battery management system, and the storage medium in this disclosure, reliability of an SOH correction result is improved, thereby providing accurate estimation of the state of health of the battery, a prolonged service life of the battery, and better user experience.

Abstract: Disclosed is a state estimation method for a power battery formation process based on convex space filtering, belonging to the technical field of power battery manufacturing. The method performs state estimation on a time delay system by a filtering method, and an iterative replacement method is provided for converting the state quantity at a time k to the state quantity at a time k?h and subsequent items, so as to combine time delay items, thereby avoiding the problem that the dimension is increased when a state matrix A and a state matrix Ah of a time-delay state quantity are subsequently combined into a new state matrix, and reducing the computation complexity and computation time in subsequent computations. Moreover, the estimation accuracy is also improved to a certain extent because of the cancellation of the same items in the iterative replacement.

Abstract: Disclosed is a method and apparatus for measuring a battery state. The method includes determining an operational mode of a battery; measuring a battery state of the battery using an electrochemical model in response to the battery determined to be operating in a low rate mode, and measuring the battery state using a modified electrochemical model based on a characteristic of the battery, in response to the battery determined to be operating in a high rate mode.

Abstract: A battery monitoring device includes: an oscillator causing an AC signal to flow in the battery cell; a subtractor acquiring voltage fluctuation of the battery cell when the AC signal flows as a response signal; and a calculation unit calculating complex impedance. The calculation unit calculates the complex impedance based on a multiplication value X of the response signal and a first reference signal outputted in synchronization with the AC signal, and a multiplication value Y of the response signal and the second reference signal obtained by shifting the phase of the AC signal. The AC signal is a rectangular wave signal, the first reference signal is a rectangular wave signal outputted in synchronization with the AC signal, and the second reference signal is a rectangular wave signal, the phase of which is shifted so as not to be outputted overlapping with the first reference signal.

Abstract: The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

Abstract: A data processing system includes: a host suitable for checking battery state information and determining a battery grade based on the battery state information; and a memory system suitable for storing information indicating the battery grade provided from the host, determining a method of performing a background operation based on the battery grade, and performing the background operation based on the determined method.

Abstract: A processor-implemented method of estimating a state of a battery includes acquiring current information and voltage information of a battery; determining time interval values based on the acquired current information such that current integration values corresponding to the time variation values satisfy a condition; determining voltage values corresponding to the determined time interval values in the acquired voltage information; and determining state information of the battery based on the determined voltage values.

Abstract: A method is disclosed for determining the state of health of an electric battery that includes a plurality of battery cells. The method includes the steps of measuring the cell voltage of each individual cell of the plurality of battery cells, and analyzing each measured battery cell voltage to determine the state of health of the corresponding battery cell.

Abstract: An automatic driving executability determination unit restricts automatic driving when a charge amount determination unit (third determination unit) determines that a battery is in a low capacity state, and decides whether to restrict the automatic driving according to a determination result of a discharge performance determination unit (first determination unit) when a temperature determination unit (second determination unit) determines that the battery is in the low capacity state but a charge amount determination unit determines that the battery is not in the low capacity state.

Abstract: System, methods, and other embodiments described herein relate to improving the cycling of batteries by using data and a hierarchical Bayesian model (HBM) for predicting the cycle life of a cycling protocol. In one embodiment, a method includes classifying cycle life of a battery into a class using battery data from cycling with a protocol, wherein the class represents cycle life distributions of cycling protocols. The method also includes quantifying, using the class in a HBM, variability for the battery induced by the protocol. The method also includes predicting, using the HBM, an adjusted cycle life for the protocol according to the variability. The method also includes communicating the adjusted cycle life to operate the battery.

Abstract: A vehicle includes a traction battery and a controller. The controller is programmed to, in response to dynamic resistance and capacity of the traction battery for a drive cycle differing from dynamic resistance and capacity of the traction battery for a previous drive cycle by threshold percentages, controlling the traction battery to reduce lithium plating.

Abstract: Operation for performing diagnostics, such as vehicle diagnostics including short circuit and low impedance diagnostics during a high-voltage (HV) battery pre-charging a power-net of the vehicle and including insulation resistance monitoring diagnostics for measuring an insulation resistance between the power-net and another power-net, with reduced processing time includes measuring a physical parameter (voltage or current signal) as the parameter is being generated by a device-under-test to which the diagnostic process pertains. The diagnostic process requires a stable value of the parameter. The parameter variates while being generated during a beginning time and is stable while being generated during an ending time. While the parameter is being generated during the beginning time, a stable value of the parameter which the parameter will have during the ending time is predicted. The stable value of the parameter is predicted based on variation of measured values of the parameter during the beginning time.

Abstract: Provided is a storage battery diagnostic device including: a positive/negative electrode OCV model function generation unit (106) configured to generate a positive electrode OCV model function and a negative electrode OCV model function for N storage batteries by a sum of OCV element functions; and a storage battery model function parameter group estimation unit (107), which is configured to generate a storage battery model function based on the positive electrode OCV model function and the negative electrode OCV model function, and to generate an evaluation function L indicating an error between the time-series data stored in the data storage unit (104) and time-series data on estimation data calculated by using the storage battery model function, to thereby calculate such an optimal group of estimation parameters of the storage battery model functions for the respective storage batteries as to minimize a value of the evaluation function L.

Abstract: A method for obtaining a residual electric quantity of a battery in an electronic device includes: obtaining a present electric quantity variation of a battery within a present detection period; obtaining a maximum discharge electric quantity of the battery corresponding to a number of charging and discharging within the present detection period; and obtaining a present residual electric quantity of the battery based on the maximum discharge electric quantity and the present electric quantity variation.

Abstract: In a method for estimating a voltage of a battery a given electrochemical battery model is provided, wherein one parameter of the electrochemical battery model is an open circuit potential. The open circuit potential is linearized. The voltage of the battery is estimated by means of the electrochemical battery model with the linearized open circuit potential.

Abstract: A battery condition monitoring apparatus includes a measurer configured to measure a charging current which is an internal current of a converter and is charged into a sub-battery, a charging voltage of the converter, and an ambient temperature of a vehicle, an impedance calculator configured to an impedance of the sub-battery on basis of a voltage and a current each measured by the measurer, and a determiner configured to determine a condition of the sub-battery by using the ambient temperature of the vehicle and the impedance of the sub-battery.

Abstract: A power storage device includes: a cell; and a controller that: causes the cell to discharge from a full charge capacity to a set capacity that is set in advance, and executes a full charge capacity correction mode including a remaining capacity calculation operation and capacity consumption calculation operation. In the remaining capacity calculation operation, the controller: acquires a first voltage of the cell at the set capacity in response to the cell discharging from the full charge capacity to the set capacity, and calculates an actual remaining capacity of the cell based on the first voltage and one of a plurality of correlations between a voltage of the cell and a cell capacity.

Abstract: In the battery deterioration prediction system, a polarization calculation unit calculates negative and positive electrode polarizations from negative and positive electrode resistances, and an electrical current value flowing through the secondary battery. A CCP calculation unit calculates a negative electrode closed-circuit potential on the secondary battery negative electrode open circuit potential and the negative electrode polarization calculated by the polarization calculation unit, and calculates a positive electrode closed-circuit potential based on the secondary battery positive electrode open circuit potential and the positive electrode polarization calculated by the polarization calculation unit.

Abstract: A method and a system for identifying third-order model parameters of a lithium battery based on a likelihood function are provided, which relates to a method for estimating battery model parameters of a lithium battery under different temperatures, different system-on-chips (SOCs), and charge-discharge currents. The method includes the following steps. A third-order battery model of the lithium battery is established. A battery model output voltage Ud and a total battery current I under different temperatures, different SOCs, and charge-discharge currents are collected. The likelihood function is adopted to construct an identification model, and the collected data is substituted into the identification model to calculate the battery model parameters. Identified parameters are substituted into the third-order battery model to obtain a battery terminal voltage to be compared with a measured terminal voltage.

Abstract: A vehicle diagnostic system diagnoses a vehicle having a battery mounted thereon. The vehicle diagnostic system includes an instrument panel for showing a capacity retention of the battery, and an ECU that calculates the capacity retention to be displayed on the instrument panel. The ECU measures the full charge capacity of the battery each time external charging is completed, and, based on a result of the measurement, updates a capacity deterioration curve indicative of changes in over time of the capacity retention. When a display request for showing the capacity retention on the instrument panel is generated, the ECU calculates the capacity retention when the display request is generated by referring to the updated capacity deterioration curve.

Abstract: Provided are a battery management system, a battery management method, a battery pack and an electric vehicle. The battery management system includes a sensing unit to generate battery information indicating a current, a voltage and a temperature of a battery, and a control unit. The control unit determines a temporary estimate for a SOC in a current cycle using a time update process of an extended Kalman filter based on a previous estimate indicating a SOC in a previous cycle and the battery information. The control unit determines open circuit voltage (OCV) information based on the temporary estimate. The control unit determines a definitive estimate indicating the SOC in the current cycle using a measurement update process of the extended Kalman filter based on the temporary estimate, the OCV information and the battery information.

Abstract: An information providing apparatus provides information concerning a lendable electric power supply device. More specifically, the information providing apparatus for providing information via a network in response to a request from a terminal, performs the following processes. The apparatus receives, from the terminal via the network, an information request concerning a lendable electric power supply device configured to supply electric power, acquires information concerning electric power that can be provided by the electric power supply device and a lending price of the electric power supply device by communicating with the electric power supply device via the network. The apparatus further edits, based on the acquired information, information to be provided to the terminal that has issued the information request, and transmits the edited information to the terminal that has issued the information request via the network.

Abstract: Systems, methods, and storage media for generating a predicted discharge profile of a vehicle battery pack are disclosed. A method includes receiving, by a processing device, data pertaining to cells within a battery pack installed in each vehicle of a fleet of vehicles operating under a plurality of conditions, the data received from at least one of each vehicle in the fleet of vehicles, providing, by the processing device, the data to a machine learning server, directing, by the processing device, the machine learning server to generate a predictive model, the predictive model based on machine learning of the data, generating, by the processing device, the predicted discharge profile of the vehicle battery pack from the predictive model, and providing the discharge profile to an external device.

Abstract: Power supply system mounted in electric vehicle includes voltage measurement unit that measures a voltage of each of a plurality of cells to ensure both safety of an electric vehicle and convenience of a user. Current measurement unit therein measures a current flowing through the plurality of cells. Temperature measurement unit therein measures a temperature of the plurality of cells. Controller therein determines a current limit value defining an upper limit of a current for suppressing cell deterioration and ensuring safety based on the voltage, the current, and the temperature of each of the plurality of cells measured by voltage measurement unit, current measurement unit, and temperature measurement unit respectively, and that notifies a higher-level controller in electric vehicle of the determined current limit value.

Abstract: A localized smart energy management system comprises a plurality of controllable loads, at least one intermittent energy source, a selectively connectable dispatchable energy source, and optionally an energy storage system. A method for balancing power production and power consumption of such localized smart energy management systems in real time comprises performing a coarse-grained optimization in a first layer of a hierarchical optimization structure to generate a predicted schedule, based on long-term load demand profiles and long-term power generation profiles. A second layer iteratively refines the predicted schedule upon receiving a new forecast of a short-term power generation profile for the at least one intermittent energy source.

Abstract: A power supply is disclosed for an industrial control system or any system including a distributed power supply network. In embodiments, the power supply comprises: a battery module including a battery cell and a battery monitor configured to monitor the battery cell; and a self-hosted server operatively coupled with the battery module, the self-hosted server being configured to receive diagnostic information from the battery monitor and provide network access to the diagnostic information. In implementations, the diagnostics stored by the self-hosted server can be broadcast to or remotely accessed by enterprise control/monitoring systems, application control/monitoring systems, or other remote systems via a secured network (e.g., secured access cloud computing environment).

Abstract: Non-intrusive monitoring and workflow assessment to optimize manufacturing environments are described herein. The systems and method combines computer vision and energy load disaggregation to track worker activity and equipment usage and status. These events are then correlated to optimize workflows and energy efficiency.

Abstract: A vehicular control device includes a determining unit configured to determine whether an absolute value of a steering angle as a rotation angle of a steering wheel exceeds a first threshold value, an estimating unit configured to estimate a lithium deposition amount as an amount of lithium metal deposited on the lithium-ion battery by regenerative current flowing into the lithium-ion battery, based on vehicle information obtained from the vehicle, when the determining unit determines that the absolute value of the steering angle exceeds the first threshold value, and a reporting command unit configured to give a command to report that the vehicle is in a first state, based on the lithium deposition amount estimated by the estimating unit.

Abstract: A method for screening and matching cells for qualification and binning can include conducting a first and second impedance-based measurement of a cell separated by a rest interval of the cell and analyzing change/shift in the impedance spectrum obtained before and after the rest interval to afford algorithms to match, categorize, or group cells within a plurality of cells (C1 . . . Cn) that have the same, substantially the same, or fall within a range of structural or functional parameters based on the impedance change/shift in the impedance spectrum.

Abstract: A system-on-a-chip (SoC) is designed to operate within optimal voltage and frequency ranges. If an SoC is provided power outside of the optimal voltage range, the SoC can be placed in a high-stress state, exposing the chip to a security attack. Embodiments of the present systems and method limit the minimum and maximum voltage supplied to an SoC from a power management integrated circuit (PMIC). Embodiments can also track a number of requests to provide power outside of the optimal range and can signal a warning of repeated attempts to take an SoC outside of the SoC's optimal range, which may be indicative of a malicious attack on the system.

Abstract: A portable exothermic welding ignition controller includes a housing configured to receive a first portion of a portable power tool battery with a second portion of the portable tool battery external to the housing. A circuit board is positioned within the housing and configured for electrical coupling to the portable power tool battery. An actuator is operatively engageable with the circuit board for selectively discharging power from the portable power tool battery to a connection terminal electrically coupled to the circuit board.

Abstract: A battery State of Health estimation method based on a standard sample and a dual-embedded decoupling includes the steps of extracting significant characteristic peaks of the standard sample, mechanism parameter calibration of the standard sample, and on-line State of Health estimation of the test battery. The battery State of Health estimation method expounds the dual coupling relationship between temperature and aging on the characteristic peak voltage of Incremental Capacity curve from the perspective of impedance characteristic mechanism analysis, and proposes a method eliminating the voltage deviation caused by the most temperature-sensitive charge transfer resistance based on the “standard sample” to realize the decoupling of the first layer.

Abstract: A apparatus configured to control charge and discharge of a battery, and to obtain a charging capacity of the battery, the apparatus includes: a first register configured to store voltage sections each including a lower and upper limit voltage; a circuit configured to measure a time from when the battery voltage at the time of charging the battery or a calculated value of that battery voltage exceeds the lower limit voltage to when that battery voltage or the calculated value reaches the upper limit voltage; an circuit configured to obtain section charging capacities, based on products of the charging current and the times; a second register configured to store the section charging capacities; and a circuit configured to read at least one of the section charging capacities stored in the second register, based on the battery voltage at the time of discharging the battery or the calculated value.

Abstract: A predictive energy monitoring system which, during discharge, accounts for changes in available energy remaining as a result of changes in battery environmental temperature, changes in energy used by systems which cycle on and off, and which provides a user “What-if” capability to predict energy availability time remaining by changing systems in use. The present invention also covers the reporting of re-charge completion against multiple re-charge goals. The battery monitoring system includes a non-volatile memory, sensors, a processor that receives inputs from the sensors and receives inputs from a user through a touch screen graphic user interface, the processor then makes calculations responsive to sensor inputs and user inputs, and supplies data to a display for presenting a plurality of screen images representing the results of the calculations.

Abstract: Provided is a method of calculating a resistance and a capacitance of an energy storage system, including a current application step of applying a predetermined current having a constant value to the energy storage system; a first voltage measurement step of measuring a voltage of the energy storage system while the predetermined current is applied to the energy storage system; a second voltage measurement step of measuring a voltage of the energy storage system after breaking the predetermined current applied to the energy storage system; and a step of calculating a resistance (R) and a capacitance (C) of the energy storage system based on the voltage of the energy storage system measured in the first voltage measurement step, the voltage of the energy storage system measured in the second voltage measurement step, and the predetermined current having the constant value.

Abstract: The invention provides a battery monitoring system comprising a battery monitoring device and at least one battery pack in storage. The battery pack comprises at least one battery core, a controller, and a temperature sensor. When the controller of the battery pack senses that a temperature of the battery core is higher than a safe temperature value, it issues an alarm signal, and directly transmits the alarm signal to the battery monitoring device in a short distance wireless communication, or transmits the alarm signal to the battery monitoring device via a multi-hop transmission of multiple battery packs in the short distance wireless communication. The alarm signal received by the battery monitoring device will be displayed on an alarm notification unit. Accordingly, the battery monitoring system can instantly monitor the temperature of the battery pack in storage to reduce the probability of burning or exploding of the battery pack.

Abstract: A modified battery cell for simulating failure conditions includes an electrical cell and a controllable voltage source. A transistor gate is joined to a positive output of the source and to a negative tab of the cell at the transistor source. One side of a resistor implanted in the cell is joined to the transistor drain and the other side is joined to the cell positive tab. Controlling voltage source voltage allows current to flow from the transistor source to the transistor drain and through the resistor. Current flow through the resistor causes heating within the electrical cell that can be monitored to simulate an electrical cell failure. A method for testing an electrical cell is also provided.

Abstract: Provided is a vehicle control device that prevents a specific function of a traveling vehicle from being not able to operate due to a failure of a battery. The vehicle control device includes: a control section configured to execute predetermined function control for a vehicle system; a discharge performance determination section configured to determine whether or not a battery is able to discharge a predetermined amount of current in accordance with a predetermined function before the predetermined function control is started; and an execution availability determination section configured to permit the control section to execute the predetermined function when it is determined that the predetermined amount of current is able to be discharged and inhibit the control section from executing the predetermined function when it is determined that the predetermined amount of current is not able to be discharged.