255 results about "Depth of discharge" patented technology

A method for predicting change in an operating state, e.g. state of life, for an electrical energy storage device includes establishing a plurality of values for an operating parameter, e.g. current, of the electrical energy storage device and, for each respective value, determining a corresponding change in the operating state for the energy storage device based upon the respective value. Preferably, change in the state of life is determined based upon an integration of electrical current, a depth of discharge of the energy storage device, and an operating temperature factor of the electrical energy storage device.

Improved high energy capacity designs for lithium ion batteries are described that take advantage of the properties of high specific capacity anode active compositions and high specific capacity cathode active compositions. In particular, specific electrode designs provide for achieving very high energy densities. Furthermore, the complex behavior of the active materials is used advantageously in a radical electrode balancing design that significantly reduced wasted electrode capacity in either electrode when cycling under realistic conditions of moderate to high discharge rates and/or over a reduced depth of discharge.

Designs for a battery-powered, all-electric locomotive and related locomotive and train configurations are disclosed. In one particular exemplary embodiment, a locomotive may be driven by a plurality of traction motors powered exclusively by a battery assembly which preferably comprises rechargeable batteries or other energy storage means. The locomotive carries no internal combustion engine on board and receives no power during operation from any power source external to the locomotive. A battery management system monitors and equalizes the batteries to maintain a desired state of charge (SOC) and depth of discharge (DOD) for each battery. A brake system may be configured to prioritize a regenerative braking mechanism over an air braking mechanism so that substantial brake energy can be recovered to recharge the battery assembly. Many locomotive or train configurations involving battery-powered or battery-toting locomotive(s) may be implemented. In one embodiment, a battery-toting locomotive is directly coupled with and positioned between two diesel-electric locomotives, wherein the batteries recover energy from regenerative braking and/or supply power to drive traction motors.

Improved high energy capacity designs for lithium ion batteries are described that take advantage of the properties of high specific capacity anode active compositions and high specific capacity cathode active compositions. In particular, specific electrode designs provide for achieving very high energy densities. Furthermore, the complex behavior of the active materials is used advantageously in a radical electrode balancing design that significantly reduced wasted electrode capacity in either electrode when cycling under realistic conditions of moderate to high discharge rates and/or over a reduced depth of discharge.

Designs for a battery-powered, all-electric locomotive and related locomotive and train configurations are disclosed. In one particular exemplary embodiment, a locomotive may be driven by a plurality of traction motors powered exclusively by a battery assembly which preferably comprises rechargeable batteries or other energy storage means. The locomotive carries no internal combustion engine on board and receives no power during operation from any power source external to the locomotive. A battery management system monitors and equalizes the batteries to maintain a desired state of charge (SOC) and depth of discharge (DOD) for each battery. A brake system may be configured to prioritize a regenerative braking mechanism over an air braking mechanism so that substantial brake energy can be recovered to recharge the battery assembly. Many locomotive or train configurations involving battery-powered or battery-toting locomotive(s) may be implemented. In one embodiment, a battery-toting locomotive is directly coupled with and positioned between two diesel-electric locomotives, wherein the batteries recover energy from regenerative braking and/or supply power to drive traction motors.

The present invention discloses an ageing rate estimation method of storage battery. Said method includes the following steps: defining discharge data and discharge capacity characteristic data of storage battery; using nominal life of storage battery as reference, using its discharge curve as ageing curve; when the storage battery is come into floating charge state from equalizing charge state, defining its position in ageing curve and estimating its ageing rate; when the discharge exceeds predefined discharge depth, according to the comparison result of capacity discharged from the present discharge to described selected capacitor point and new storage battery capacity renewing ageing rate; then utilizing said renewed ageing rate to correct the position of storage battery in ageing curve. Said invention also discloses a fault detection method of storage battery and a storage battery management monitoring device.

The invention provides a lithium iron phosphate battery modeling and SOC estimating method in account of capacity loss. The method is provided based on the facts that the working state of the existing lithium iron phosphate battery is influenced by many factors of temperature, current, cycle times, depth of discharge and the like, and thus the modeling process is very complicated. According to the method, based on the Thevenin equivalent circuit, the modeling work is conducted on the lithium iron phosphate battery; the model open-circuit voltage, resistance and capacitance value identification method are given; and the capacity loss of the lithium iron phosphate battery in the life cycle is taken into account; a capacity estimation mathematical model is established; the output precision of a lithium iron phosphate battery model is improved; and the lithium iron phosphate battery SOC estimating problem brought by uncertainty noise is solved with extended Kalman filtering (EKF) algorithm. The method has the advantages of being simple, scientific and reasonable, high in application value, good in effect and the like.

The invention discloses a method and system for testing consistency of performances of batteries. The method comprises the following steps: carrying out charging and discharging on battery pack strings; acquiring working state parameters of the battery pack strings; acquiring working state data of single batteries in the battery pack strings; according to the working state parameters of each battery pack string and the working state data of the single batteries, generating a battery performance consistency testing result. By the method and system for testing consistency of the performances of the batteries, which is disclosed by the invention, performance testing of the energy storage battery pack strings on various aspects, such as battery dynamic voltage consistency testing, battery voltage curve consistency testing, battery dynamic temperature consistency testing, and battery charge-discharge depth consistency testing, is implemented; testing data is rich; acquisition accuracy is high; the method and the system are flexible and convenient to implement; a user can accurately, conveniently and rapidly evaluate the performances of the energy storage batteries.

The invention relates to a method for evaluating the life of space hydrogen-nickel storage batteries, and belongs to the technical field of hydrogen-nickel storage batteries. The method for evaluating the life of the space hydrogen-nickel storage batteries is characterized by comprising the following steps of: selecting similar hydrogen-nickel storage batteries, performing a charge-discharge cycle life test at the ambient temperature of between -5 and +5 DEG C, detecting the discharge capacity of the hydrogen-nickel storage batteries in each charge-discharge cycle, calculating the discharge depth of the hydrogen-nickel storage batteries, fitting to obtain a hydrogen-nickel storage battery life prediction mathematical model, and predicting and evaluating the life of the hydrogen-nickel storage batteries by using the mathematical model. The method has the advantages that: the method is simple, is convenient to operate, and is high-efficiency and quick, data is accurate, the life is easy to detect, and the like, the cycle life of the hydrogen-nickel storage batteries under the design discharge depth can be quickly predicted, design efficiency is improved, and the research and development of track hydrogen-nickel storage batteries are facilitated.

The invention belongs to the technical field of automobile testing, and provides a cycle testing method for a power battery. The method comprises the steps: testing capacity initial values Q0 during the temperature 25 DEG C, 0.5C charging, 1C discharge and the discharge depth of 100%; testing a temperature impact value on a capacity attenuation rate from different temperatures, the charging current impact value on the capacity attenuation rate from different charging currents, the discharge current impact on the capacity attenuation rate from different discharging currents, and the discharge depth impact value on the capacity attenuation rate from different discharge depths; determining the capacity target value of the capacity attenuation of the power battery; building a model of the capacity attenuation of the power battery; and calculating the cycle number of the power battery during charging and the cycle number of the power battery during discharging. The method can accurately calculate the cycle life of the power battery of an electric car during operation through building power battery capacity attenuation rate models of different temperatures, charging currents, discharge currents, and discharge depths, and is high in testing effectiveness.

The invention discloses a coulomb efficiency measuring method used for SOC (system-on-chip) evaluation of a power battery, relates to the technical field of power batteries or power battery pack management and aims at solving the problems that in the prior art, when the coulomb efficiency is calculated, the capacitance range of the battery in the practical use is not considered, and the coulomb efficiency is not accurate caused by the self temperature change of the battery in charging and discharging process and the like. The method comprises the following specific steps: conducting HPPC (hybrid pulse-power capability) test on a battery to be detected, and recording a voltage time curve and a current time curve in the HPPC test; calculating the relation curve of pulse power capacity and charging electric quantity according to the obtained voltage time curve and current time curve, and calculating the minimum discharging depth and the maximum discharging depth according to the curve; calculating the coulomb efficiency of middle discharging depth; charging the battery to the middle discharging depth, charging for n times to keep the work condition, discharging the battery completely, and calculating the coulomb efficiency of the battery to be detected. The method disclosed by the invention is used for measuring the coulomb efficiency of batteries in the fields of electric automobiles, renewable energy sources, and large-scale energy storage.

The invention discloses an electric vehicle photovoltaic charging station optimization scheduling method considering a user behavior, that is, an electric vehicle supplies power to a power grid only when an electricity price is higher than the discharge loss of a vehicle-borne storage battery. Therefore, according to measured data, a B-spline curve is used to establish mathematical models of the influence of a discharge depth and an ambient temperature on the cycle life of a storage battery through the two steps of preliminary fitting and partial correction, the influences of a discharge depthfactor and a temperature factor on the cycle life of the storage battery are comprehensively considered, and the discharge loss corresponding to each discharge behavior of the vehicle-borne battery is obtained. On the basis, with the output of an energy storage system and the interaction power with a large power grid as the optimization variables, with minimum operating cost of the system as an optimization goal, the day-to-day optimal scheduling model of the system is established, and the model is solved by using an adaptive genetic optimization algorithm. The invention has a certain significance for extending the service life of the electric vehicle storage battery and promoting the development of renewable energy.

It is intended to recognize the state of charge or depth of discharge of the battery more accurately than conventional technologies and to recognize health of a battery appropriately. Complex impedance between positive and negative electrodes of the battery is determined at a plurality of frequencies, and the state of charge or depth of discharge of the battery is estimated by comparing frequency dependency of Warburg impedance of the determined complex impedances with frequency dependency of Warburg impedance corresponding to a known state of charge or depth of discharge of the battery. Similarly, complex impedance is determined, and the health of the battery is evaluated by using the real part of the complex impedance at a point where the imaginary part of the complex impedance is zero on a line obtained by extending a part, which indicates frequency dependency of Warburg impedance, of a complex impedance characteristic curve representing a correlation relationship between the real and imaginary parts of the determined complex impedance.

The invention provides a lithium battery and super capacitor dual-energy power distribution control system and method. The lithium battery and super capacitor dual-energy power distribution control system comprises a motor needed power collection module, an energy management center, a battery pack and the super capacitor. The motor needed power collection module is connected with the signal input end of an energy management center. The signal output end of the energy management center is connected with the battery pack and the super capacitor. The lithium battery and super capacitor dual-energy power distribution control system and method have the advantages that the structure is simple, using is convenient, the depth of discharge of the battery pack is reduced by means of the rapid charging characteristic of the super capacitor, the number of service times of the battery pack is improved, the service life is prolonged, the driving mileage is increased by 50%, and energy is saved by 30% or over in the starting and stopping processes.

A method for terminating battery discharge to avoid battery damage and maximize battery usage includes the steps of: (a) determining battery capacity; (b) storing a capacity result of the capacity determining; (c) determining battery voltage; (d) during a monitored battery operation, integrating battery current flow over a time interval to determine an integrated charge value at an end-of-interval-time; (e) determining an extant depth of discharge at the end-of-interval-time; (f) if the extant depth of discharge is neither within a first range of a maximum depth of discharge nor the battery voltage is within a second range of a minimum battery voltage, carrying out steps (d) through (f); (h) if the extant depth of discharge is within the first range of the maximum depth of discharge or if the battery voltage is within the second range of the minimum battery voltage, terminating the monitored battery operation.

The invention discloses a power lithium ion battery cycle life equivalent test method, and brings forward an equivalent cycle life test method realized by simulating an actual running environment for a pure electric vehicle running environment. The method comprises erecting a pure electric vehicle test platform, acquiring pure electric vehicle real-vehicle running data, and analyzing and extracting a vehicle running condition reflecting a pure electric vehicle running feature; extracting vehicle driving working condition test stress; extracting discharge depth test stress of a power lithium ion battery; extracting working temperature test stress of the power lithium ion battery; and according to the extracted test stress, selecting a scope of different test stress reflecting actual conditions, and designing a complete cycle life equivalent test scheme simulating the working state of the power lithium ion battery in an actual pure electric vehicle running environment through combination. According to the method, the test result has certain guidance significance for actual application.

A battery is basically provided with an electricity generating element and a discharging section. The electricity generating element has a plurality of electric cells connected in series. The discharging section constantly discharges electricity from each of the electric cells at a prescribed discharge rate so that a voltage in each of the electric cells is lower than a voltage corresponding to a prescribed depth of discharge. The battery is especially useful in a power supply component of a vehicle.

Predictive battery pack cell balancing apparatus and methods are presented in which active bypass current switching is controlled according to initial balancing bypass current values to balance the cell depth of discharge (DOD) values by the end of a charging/discharging time period, and according to continuous balancing bypass current values representing an amount of bypass current needed to maintain a present relationship of the cell DOD values.