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AssigneeNasan Electric Industries Co., Ltd.
InventorsJong Hoon Bae, Su Hyeon Son, Seong Yong Kim, Sung Chun Moon, Han Yeul An, Kyung Jin Bae
Estimating the term…
Disclosed is a system for predicting the lifetime of a battery being chargeable and dischargeable using charge-discharge characteristics in a Battery Management System (BMS). The system includes: a battery state measurement unit measuring a voltage, a State of Charge (SOC), and a Depth of Discharge (DOD) of a battery while charging and discharging the battery with changing charge current and discharge current; an irreversible energy amount deriving unit deriving an irreversible energy amount (Qir) that is generated when the battery is charged/discharged from the voltage and the SOC using enthalpy and entropy theory; and a remaining lifetime prediction unit predicting a remaining lifetime of the battery from the derived irreversible energy amount (Qir), in which the remaining lifetime of the battery is predicted by equation ∑ k = 1 n Q ir_k min ( mQ ir_m · ∑ k = 1 n Q ir_k ) = N a N p . According to the present disclosure, the voltage/SOC relationship is examined clearly in terms of entropy and influence by temperature is expressed as V/SOC result, whereby it is possible to estimate the lifetime of a battery without temperature and temporal components.
A system for predicting a ratio of an actual number of times of cycles and a predicted number of times of cycles of a battery being chargeable and dischargeable using charge and discharge characteristics in a Battery Management System (BMS), the system comprising:
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No references of this kind are recorded.
Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of…
Constructional arrangements: comprising digital calculation means, e.g. for performing an algorithm
Arrangements for monitoring battery or accumulator variables, e.g. SoC: involving only voltage measurements
Secondary cells; Manufacture thereof: methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
About 14 years 3 months of term left · ends 22 Jan 2041 (estimated)
This application is a U.S. National Stage Application of International Application No. PCT/KR2020/017774, filed on Dec. 7, 2020, which claims the benefit under 35 USC 119(a) and 365(b) of Korean Patent Application No. 10-2020-0063029, filed on May 26, 2020, filed on May 26, 2020 in the Korean Intellectual Property Office, the entire disclosure of which is incorporated herein by reference.
The present disclosure relates to management of a battery, particularly a system for predicting a battery lifetime using the charge-discharge characteristics of a battery in a BMS system.
A lithium-ion battery shows the most excellent performance among secondary batteries that are generally used at present. Since the lithium-ion battery is relatively light and has high energy density in comparison to other secondary batteries, the lithium-ion battery is widely used in various fields including portable products and even large energy storage systems. In particular, with the spread of electrical vehicles, next-generation batteries such as a lithium-sulfur battery, a lithium-air battery, a sodium-magnesium battery, and a solid-state battery are developed to solve the problem with the capacity of a battery for improving mileage and the problem with stability that is a mortal defect. However, there are still many problems in order to generally use such next-generation batteries. Accordingly, the market of lithium-ion battery is expected to expand. In particular, efficient energy use and the problem with stability of the lithium-ion battery are being more spotlighted with the growth of the market of mobile phone and personal mobility (an electric scooter, an electric bicycle, etc.).
FIG. 1A is a flowchart schematically showing a method of predicting a battery lifetime based on entropy-enthalpy.
FIG. 1B is a block diagram schematically showing a battery lifetime predicting system performing the method of predicting a battery lifetime of FIG. 1A.
FIG. 2 is a view showing a simplified configuration of a battery test system.
It is required to refer to the accompanying drawings exemplifying preferred embodiments of the present disclosure and the contents in the accompanying drawings to help sufficiently understand the present disclosure, the operational advantages of the present disclosure, and the objects that are achieved by implementing the present disclosure.
The present disclosure will be described hereafter in detail by describing exemplary embodiments of the present disclosure with reference to the accompanying drawings. However, the present disclosure may be modified in various different ways and is not limited to the embodiments described herein. Parts that are not related to the description are omitted to make the present disclosure clear, and the same components are given the same reference numerals.
FIG. 1A is a flowchart schematically showing a method S100 of predicting a battery lifetime based on entropy-enthalpy, and FIG. 1B is a block diagram schematically showing a battery lifetime predicting system 100 performing the method of predicting a battery lifetime of FIG. 1A.