摘要:
Embodiments include methods and systems for identifying a root cause of battery cell degradation in a battery pack. Aspects include collecting voltage data for a plurality of battery cells in the battery pack and identifying a first cell of the plurality of battery cells as a defective battery cell. Aspects also include identifying a second cell of the plurality of battery cells as a nominal battery cell and calculating a self-discharge of the defective battery cell based on the voltage data of the defective battery cell and the nominal battery cell. Aspects further include calculating a capacity fade of the defective battery cell based on the voltage data of the defective battery cell and the nominal battery cell and determining the root cause of a defect of the defective battery cell based on the self-discharge and the capacity fade of the defective cell.
摘要:
A system and method for measuring the state of charge (SOC), molarity and concentrations of active species and oxidation state of a flow battery, such as a Vanadium Redox Flow Battery (VRFB). A reference electrolyte is circulated through a reference cell in conjunction with one or both charged electrolytes (in respective conduits). The electric potential of charged electrolyte relative to a reference electrolyte is measured. This measurement is directly convertible to SOC. An equation allowing for the calculation of the molarity, concentration of vanadium ions on both anolyte and catholyte sides of the flow battery and oxidation state is also taught. A flow battery may be controlled in response to such a determination, for example to manage oxidation state, or to charge or discharge a battery.
摘要:
Described herein is a device for autonomously monitoring a battery is provided. The device is integrated with the battery (e.g., by being electrically coupled to the battery). The device obtains measurement data by injecting electrical signals into the battery and measuring an electrical response of the battery. The device participates in an authentication protocol with a computing device to verify a unique identity of the device to the computing device. After performing the authentication protocol verifying the unique identity of the device, the device transmits battery data to the computer. Further, techniques for verifying the identity of the battery using measurement data obtained by the device are described herein. The techniques generate a battery signature using the measurement data that is then used to verify the identity of the battery. For example, the battery signature may be used to determine whether the battery is counterfeit or defective.
摘要:
A method for calculating a state of charge of a battery is provided. The method includes: estimating a first state of charge of the battery by using a first state of charge estimation algorithm; estimating a second state of charge of the battery by using a second state of charge estimation algorithm; determining a first weight corresponding to the first state of charge and a second weight corresponding to the second state of charge based on state data of the battery; and calculating the state of charge of the battery based on the first state of charge and the first weight, and the second state of charge and the second weight. With method for calculating a state of charge of a battery in the present disclosure, the accuracy of calculating the state of charge of the battery can be improve d with a lower computation cost.
摘要:
A system includes a first storage unit configured to store a result of an endurance test actually carried out over a first period under a first use condition as training data, and a first arithmetic unit having a machine learning model configured to perform machine learning using the training data stored in the first storage unit. The machine learning model is configured to estimate a result when the endurance test is carried out under a second use condition. The first use condition is a use condition in which a predetermined operation parameter that influences degradation of the fuel cell system appears with equal frequency over an entire domain of the operation parameter. The second use condition is a use condition in which the operation parameter appears with unequal frequency in at least part of the domain of the operation parameter.
摘要:
The present disclosure relates to a method for predicting lifespan characteristics of a lithium secondary battery that can reliably predict the lifespan characteristics of a lithium secondary battery, specifically, the mode of variation in cycle capacity in advance.
摘要:
Disclosed in the present invention is a multi-target simultaneous charging method for a lithium battery pack: converting energy loss and charging current into a lithium battery pack charging cost model with a charging weight coefficient, and using an interior point method for solving and processing to acquire a preset charging current sequence; on the basis of the preset charging current sequence, calculating the charging time required when charging the lithium battery pack, and adjusting the charging weight coefficient in the lithium battery pack charging cost model by means of an adaptive momentum gradient descent algorithm to obtain the charging weight coefficient with the shortest charging time; using the charging weight coefficient to optimize the lithium battery pack charging cost model to acquire a new preset charging current sequence; and using the new preset charging current sequence to implement charging, thereby implementing optimized multi-target simultaneous charging of the lithium battery pack.
摘要:
A method for determining a depth of discharge of an electrochemical cell includes (i)) providing one or more alkaline electrochemical cells comprising Ag2O—Zn; (ii) applying a varying voltage potential to the one or more alkaline electrochemical cells, (iii) measuring an output current response of the one or more alkaline electrochemical cells, the output current response comprising a phase response as a function of frequency; and (iv) determining a depth of discharge of the one or more alkaline electrochemical cells based on a linear relationship of the depth of discharge with the phase response.
摘要:
A method for estimating the state of charge (SOC) of a lithium-ion battery system based on artificial intelligence (AI) is provided. In the method, the relationship between the charging data segments and the SOC of the battery system is established through deep learning, and the SOC at any stage of the charging process can be corrected. SOC in a discharging process is estimated through ampere-hour integration. The estimation method is adaptively updated with a change in the working state of the battery system.
摘要:
A self-energized measuring system for determining primary and secondary battery/cell's performance, age, and health by measuring and recording battery/cell's voltage response to a specified load-changing perturbation spot-test event. The cell's voltage response is compared to a synchronously measured voltage signal of a comparator resistor. The relationship between the two voltage signals is analyzed on logarithmic time scale to determine performance parameters such as cell impedance and power and their variation in the time domain. The cell temperature is also measured for impedance and power normalization for 20 centigrade. Results are compared to a previously generated master data tabulation characteristic of a similar, new cell of perfect health condition. The time-domain performance parameters are related to the performance, age and health of the cell at any particular instant. The evaluation method can be easily adjusted to various battery chemistries, types.