5290 results about "Battery capacity" patented technology

A system for providing power to a wireless card includes power interface that provides power to a compact flash card. A boost regulator boosts the power from the power interface. A battery provides power that is summed with the power from the power interface. Moreover, a buck regulator limits the voltage of the summed power. A compact flash card can be powered by the power interface while a wireless card can be powered by the summed power.

In an exemplary embodiment, a battery conditioning system monitors battery conditioning and includes a memory for storing data based thereon; for example, data may be stored representative of available battery capacity as measured during a deep discharge cycle. With a microprocessor monitoring battery operation of a portable unit, a measure of remaining battery capacity can be calculated and displayed. Where the microprocessor and battery conditioning system memory are permanently secured to the battery so as to receive operating power therefrom during storage and handling, the performance of a given battery in actual use can be accurately judged since the battery system can itself maintain a count of accumulated hours of use and other relevant parameters. In the case of a nonportable conditioning system, two-way communication may be established with a memory associated with the portable unit so that the portable unit can transmit to the conditioning system information concerning battery parameters (e.g. rated battery capacity) and/or battery usage (e.g. numbers of shallow discharge and recharge cycles), and after a conditioning operation, the conditioning system can transmit to the portable unit a measured value of battery capacity, for example. A battery pack having memory stores battery history and identifying data to be retrieved by a portable battery powered device. Battery status information may be utilized in conjunction with characteristic battery history data in order to optimize charging and discharging functions and to maximize the useful life of a battery pack.

A method and apparatus for coordinating communication in a wireless sensor network may include a plurality of nodes, such as routers, edge nodes, data accumulators and/or gateways. Time management functions, such as determining an elapsed time, may be controlled based on a detected temperature, e.g., a temperature detected at a node, and/or based on a detected clock skew between two or more clocks in two or more different devices. Accurate time management may allow for devices to more accurately coordinate communication instances, e.g., communication that occurs at periodic wake up times. A cluster head, such as a data accumulator, may be associated with a network after its initial formation and cause nodes in the network to alter their hierarchy in the network, thereby making the cluster headaccumulator a parent to nodes in the network. Nodes having a relatively lower hop count may have a higher battery capacity than nodes having a higher hop count.

A lithium ion conductive solid electrolyte formed by sintering a molding product containing an inorganic powder and having a porosity of 10 vol % or less, which is obtained by preparing a molding product comprising an inorganic powder as a main ingredient and sintering the molding product after pressing and/or sintering the same while pressing, the lithium ion conductive solid electrolyte providing a solid electrolyte having high battery capacity without using a liquid electrolyte, usable stably for a long time and simple and convenient in manufacture and handling also in industrial manufacture in the application use of secondary lithium ion battery or primary lithium battery, a solid electrolyte having good charge/discharge cyclic characteristic in the application use of the secondary lithium ion battery a solid electrolyte with less water permeation and being safe when used for lithium metal-air battery in the application use of primary lithium battery, a manufacturing method of the solid electrolyte, and a secondary lithium ion battery and a primary lithium battery using the solid electrolyte.

The remaining run-time (t_rem) of a battery is determined independently of the condition of the battery and the amount of load on the battery by obtaining the value of a present total zero-current capacity (Qmax) of the battery based on relaxed-battery OCV values measured just before and just after a charging or discharging cycle. A current through the battery is integrated to determine a transfer of charge (Q) from the battery, and a value of total run-time (t_total) that would be required to reduce the open circuit voltage of the battery to a predetermined lower limit (Vmin) is determined. The remaining run-time (t_rem) is determined by subtracting the duration of the integrating from the total run-time (t_total).

The present invention relates to a microprocessor controlled battery management system that optimizes the total electrical capacity of that battery. It uses localized cell power sources that correct the capacity of the individual connected cells to achieve the maximum capacity of the battery as it acts in a synergistic series connection of cells. The microprocessor retrieves data of battery load current, cell voltage, cell temperature, and battery charger current in timed increments. Through the application of the microprocessor's algorithms, after an initial cell profiling of individual cell capacities has been performed, individual cell DC/DC converters are enabled to correct the condition of the individual cells. In this manner the battery capacity is not affected by the capacity of the weakest cell.

The invention provides a combined estimation method for lithium ion battery state of charge, state of health and state of function. The combined estimation method comprises the steps that the state of he---alth of a battery is estimated online: open circuit voltage and internal resistance are identified online by adopting a recursive least square method with a forgetting factor, the state of charge is indirectly acquired according to a pre-established OCV-SOC corresponding relation, and then the size of battery capacity is estimated according to cumulative charge and discharge electric charge between two SOC points; the state of charge of the battery is estimated online: the state of charge of the battery is estimated by adopting the Kalman filter algorithm based on a two-order RC equivalent circuit model, and the battery capacity parameter in the Kalman filter algorithm is updated according to the estimation result of battery capacity; and the state of function of the battery is estimated online: the maximum chargeable and dischargeable current is calculated based on the voltage limit and the current limit of the battery according to internal resistance obtained by online identification, and then the maximum chargeable and dischargeable function can be obtained through further calculation.

A mobile communication terminal includes a first mode unit which executes a first mode for mobile communication with a base station, a second mode unit which executes a second mode different from the first mode, and a battery which outputs power for operating the first mode unit and the second mode unit. This terminal includes a mode-specific power supply control unit. The mode-specific power supply control unit divides the battery capacity held by the battery into the first and second capacities, and allocates the first and second capacities to the first and second mode units, respectively.

A hybrid vehicle enabling reliable travel to the destination in second travel mode in which the vehicle travels with the engine off and enabling more effective use the second travel mode. In this vehicle, a electric power travel mode travelable distance calculation section calculates the travelable distance based on the average traveling consumed current value inputted from average traveling consumed current value calculation section and the battery capacity SOC inputted from a battery capacity calculation section, and outputs the result to a display section. A fuel travelable distance calculation section calculates the remaining travelable distance based on the remaining fuel inputted from a remaining fuel amount measuring section and the fuel consumption inputted from a fuel consumption calculation section, and outputs the result to the display section. The display section displays the remaining travelable distance for the total of the remaining fuel and the battery capacity SOC for traveling, based on the travelable distance inputted from the electric power travel mode travelable distance calculation section and the remaining travelable distance inputted from the fuel travelable distance calculation section.

A battery charger with electroluminescent panel primary comprises a battery charger, an electroluminescent panel and a housing. The electroluminescent panel is connected to a battery charger and having a driving controller and cables of driver circuit, the battery charger having a charger controller and cables of charger circuit, and the housing accommodating the battery charger and electroluminescent panel. The electroluminescent panel is attached to the battery charger by means of the connecting cables to be displayed the information of charging. The electroluminescent panel is installed at easy-to-reach display location for the convenience of its users. Other features beneficial to users include a better display interface of charged progress, charging capacity display, alarm information, company logo, as well as, indicating the battery capacity instead of voltage instrument when the city power source does not connect with the battery charger.

The invention relates to organic-inorganic all-solid-state composite electrolyte as well as preparation and application methods thereof, belonging to the field of lithium ion batteries. According to the organic-inorganic all-solid-state composite electrolyte, a highly-ordered three-dimensional connection network skeleton is formed by an inorganic fast lithium ion conductor, and a three-dimensional connection network is filled with a polymer and lithium salt. The organic-inorganic all-solid-state composite electrolyte which is flexible and has a controllable three-dimensional connection network structure is prepared. The electrolyte is high in lithium ion conductivity, wide in electrochemical window, good in mechanical property and stable to lithium metal. A lithium ion secondary battery assembled by a composite electrolyte membrane prepared by the method is high in capacity, stable in cycle performance, low in interface impedance and good in interface stability.

In a storage system for performing data backup using a battery during blackout, when the blackout continues for a long time, problems such as the loss of volatile memory data due to the consumption of battery capacity and the difference in recovery time between controller units after power recovery occur during restarting of the system. The present invention solves the problems by selecting (a1) battery backup or (a2) saving of data in a nonvolatile device based on the battery capacity or setting of modes, and selecting (b1) inhibiting restart of the system or (b2) storing of data in the volatile memory to a nonvolatile memory means and performing access via write-through based on the remaining capacity of the battery when restarting the system after power recovery. Further, the system enables to increase and decrease the volatile memory capacity of the write area and mutually confirms synchronization of controller units and contents of volatile memories. Thereby, the system enables to prevent data loss and inconsistency of data.

The present invention relates to an apparatus and method for throttling a clock of a bus used for data exchange between devices in a computer such as a portable computer or notebook. Methods according to the invention can set a throttle rate of a clock to a predetermined initial value, detect a current remaining battery capacity or a current load to the CPU, and adjust the set throttle rate to a prescribed or calculated value according to the detected remaining battery capacity or the CPU load. Thus, power consumption is reduced, and, in the case of a battery-powered computer, battery life and operating time are extended.

The invention relates to the technical field of complete electric vehicle management systems, and particularly discloses a management system and a working method for the endurance mileage of an electrical vehicle. The system comprises an acquisition module used for acquiring vehicle location information, actual traffic information, average vehicle speed data, residual battery capacity and power loss information of various vehicle parts, and a confirming module connected with the acquisition module and used for confirming the maximum endurance mileage of a vehicle according the information acquired by the acquisition module. The management system and the working method can calculate the endurance mileage in a comprehensive and dynamic manner, reduce forecast errors to the maximum extent, effectively assist users in planning trips reasonably and improve the experience of the users.

The invention relates to an SOH (state-of-health) online estimation method of a battery pack. The SOH online estimation method comprises the following steps of: measuring temperature T, voltage V and current I of an electric automobile during actual operation to acquire the following function: SOC (state-of-charge)=f(T, V, I) by utilizing a normalization algorithm, establishing a database with one-to-one correspondence between the temperature T, the voltage V and the current I and the SOC, measuring the SOC of a monomer battery with lowest voltage in an online manner by utilizing the database, and further measuring the SOH of the battery pack. The SOH online estimation method disclosed by the invention has the beneficial effects that: 1) as the measured SOC is that of the monomer battery with the lowest voltage, which is a key factor for restricting the discharge capacity of the battery pack, a user can know the SOH of the batteries in a more visual manner, the remaining capacity of the batteries can be judged in a more accurate manner by combining with the SOC value, and the continue voyage course of the electric automobile can be estimated in a more accurate manner; and 2) if the problem is caused by attenuation of the battery capacity, the problem can be obviously seen through the SOH, and the efficiency of after-sale service is improved.

Improved assemblies, systems, and methods provide a stimulation system for prosthetic or therapeutic stimulation of muscles, nerves, or central nervous system tissue, or any combination. The stimulation system includes a pulse generator including a housing sized and configured for implantation in subcutaneous tissue, circuitry carried within the housing, the circuitry operable for generating electrical stimulation pulses, and a rechargeable battery coupled to the circuitry and carried within the housing, the rechargeable battery including a battery capacity. The circuitry is adapted to suspend the generation of electrical stimulation pulses at a first remaining battery capacity, and the circuitry is adapted to enter a dormant mode at a second remaining battery capacity. The first battery remaining capacity may be greater than or equal to the second remaining battery capacity. At the second remaining battery capacity, only a safety margin battery capacity remains.

A method for accurately estimating battery capacity based on a weighting function is provided. The disclosed system monitors battery current and uses the monitored battery current to calculate the state of charge (SOCbyAh) of the battery. The system also measures the open circuit voltage (OCV) of the battery when the system is at rest, rest being determined by achieving a current of less than a preset current value for a period of time greater than a preset time period. The state of charge of the battery is calculated from the OCV (SOCbyOCV). The weighting function is based on ΔSOCbyAh and ΔSOCbyOCV, where ΔSOCbyAh is equal to SOCbyAh_{First time} minus SOCbyAh_{Second time}, and where ΔSOCbyOCV is equal to SOCbyOCV_{First time} minus SOCbyOCV_{Second time}. The weighting function also takes into account the errors associated with determining SOCbyAh and SOCbyOCV.