CN-121769349-B - Ship battery intelligent temperature control method based on life attenuation characteristics

CN121769349BCN 121769349 BCN121769349 BCN 121769349BCN-121769349-B

Abstract

The invention belongs to the technical field of battery management, and particularly relates to a ship battery intelligent temperature control method based on life attenuation characteristics, which comprises the steps of obtaining a battery health state value; obtaining average temperature rise amplitude, calculating impedance aging heat-sensitive factors, obtaining dynamic load heat impact indexes, calculating thermal runaway latency risk, carrying out numerical conversion on the thermal runaway latency risk to generate a cooling gain coefficient, determining target cooling power, driving a cooling system to execute temperature adjustment, correcting model parameters based on the adjusted temperature, and triggering parameter acquisition and calculation again. The invention effectively solves the technical problem that the prior art ignores the influence of battery aging on the thermal characteristics.

Inventors

ZHOU DE
YAN ZHEN
WANG ZHUOHUA
ZHANG YAFEI

Assignees

杭州海创自动化有限公司

Dates

Publication Date: 20260512
Application Date: 20260304

Claims (7)

1. The intelligent temperature control method for the ship battery based on the life attenuation characteristic is characterized by comprising the following steps of: The method comprises the steps of synchronously sampling a real-time voltage sequence and a real-time current sequence of a battery module at high frequency, retrieving a reference parameter of the battery module and obtaining a state value of battery health according to the current use condition; Obtaining average temperature rise amplitude according to the load intensity and internal heat distribution of the battery module, calculating resistance aging thermosensitive factors according to the sensitivity of the current aging state of the battery module to thermal effect and the state value of battery health, In the formula (I), in the formula (II), Representing an impedance aging thermosensitive factor; Is a dynamic internal resistance value; is an initial internal resistance value; a state value of battery health; Is a natural logarithmic function; is a natural exponential function; Is a natural constant; Ensuring that the denominator is not 0 for the first minimum positive number, combining the current fluctuation characteristic and the influence of the real-time temperature rise amplitude on the aging degree to obtain the dynamic load thermal shock index, In the formula (I), in the formula (II), Representing dynamic load thermal shock index; is the current fluctuation variance; weighting coefficients for the electrothermal conversion acquired in advance; is the average temperature rise amplitude; a reference temperature rise constant obtained in advance; for the second pole small positive number, ensuring that the denominator is not 0; representing a hyperbolic tangent function; According to the influence degree of the uneven heat distribution on the battery condition and combining the heat disturbance index, calculating the thermal runaway latent risk, In the formula (I), in the formula (II), Representing a thermal runaway latency risk; is an index of thermal disturbance; Performing numerical conversion on the thermal runaway latency risk degree to generate a cooling gain coefficient; Acquiring a thermal disturbance index, namely acquiring multipoint surface temperature sequences distributed at different positions of the module by using a temperature sensor, and acquiring the ambient temperature; Determining target cooling power according to the thermal runaway latent risk, converting the target cooling power into a bottom layer control signal, driving a cooling system to perform temperature adjustment, correcting model parameters based on the adjusted temperature, and triggering parameter acquisition and calculation again.
2. The intelligent temperature control method for the ship battery based on the life attenuation characteristic according to claim 1, wherein the obtaining the battery health status value comprises the following steps: The method comprises the steps of synchronously collecting a real-time voltage sequence and a real-time current sequence of a battery module with high-frequency sampling frequency, indexing and reading an initial internal resistance value, a nominal cycle life, a standard heat distribution deviation constant and a current accumulated cycle number updated in real time when the battery module leaves a factory from a database, carrying out linear regression fitting on data points of the real-time voltage sequence and the real-time current sequence in a short time window by using a least square method so as to obtain a dynamic internal resistance value sequence, calculating the proportion of the current accumulated cycle number to the nominal cycle life, and defining a difference value of subtracting the proportion from 1 as a battery health state value.
3. The intelligent temperature control method for ship battery based on life attenuation characteristics according to claim 1, wherein the obtaining average temperature rise amplitude comprises: And subtracting the ambient temperature from the arithmetic average value of the multipoint surface temperature sequence to obtain the average temperature rise amplitude.
4. The intelligent temperature control method for ship battery based on life-span attenuation characteristics according to claim 1, wherein said generating a cooling gain factor comprises: Mapping the thermal runaway latent risk degree to intervals [0,1] by adopting a maximum and minimum value normalization method, and searching a corresponding cooling gain value in a preset gain coefficient table by using the mapped value as an index to obtain a cooling gain coefficient.
5. The intelligent temperature control method for ship battery based on life-span attenuation characteristics according to claim 1, wherein said determining the target cooling power comprises: The system presets three power gears of an energy-saving mode, a standard mode and a powerful pressing mode, and directly selects corresponding gear power as target cooling power according to the magnitude of a cooling gain coefficient.
6. The intelligent temperature control method of a marine battery based on life decay characteristics of claim 1, wherein the drive cooling system performs temperature regulation comprising: And converting the target cooling power into a bottom layer control signal, driving the cooling system to perform temperature regulation, calculating the difference between the Joule heating power generated by the current sequence and the dynamic internal resistance value and the target cooling power, and dividing the difference by the equivalent heat capacity of the battery module, thereby deducing the expected temperature change rate in unit time.
7. The intelligent temperature control method for ship battery based on life attenuation characteristics according to claim 1, wherein the triggering of parameter collection and calculation again comprises: And calculating the actually measured temperature change rate after temperature adjustment, if the actually measured change rate exceeds the expected temperature change rate, updating a correction coefficient in the dynamic internal resistance calculation model by using the current working condition data, and triggering a new parameter acquisition and calculation flow.

Description

Ship battery intelligent temperature control method based on life attenuation characteristics Technical Field The invention relates to the technical field of battery management. More particularly, the invention relates to a ship battery intelligent temperature control method based on life attenuation characteristics. Background Under the rapid promotion of the electromotive trend of ships, a marine power battery system is facing increasingly complex marine working condition challenges, and the marine power battery system is quite different from a vehicle battery with a relatively stable running environment and has the remarkable characteristics of huge single capacity, large group scale and extremely long service period. More importantly, the load of the propulsion motor of the ship is often severely oscillated under the influence of unpredictable storms, ocean current impact and dynamic positioning requirements during the navigation process. This unsteady high frequency load fluctuation imposed by environmental factors presents a serious challenge for electrochemical stability and thermal management capabilities of the battery system. However, the prior art marine battery temperature control systems mostly continue to use more primitive control logic, i.e. mainly using a fixed temperature threshold, for example, turning on cooling when the monitored temperature exceeds 35 ℃ as the only trigger basis for thermal management. However, this static passive response control approach severely ignores the dynamic evolution of the battery's physical characteristics over a lengthy full life cycle. It is known that as a battery ages, irreversible degradation of its internal chemical components, such as loss of active lithium, decomposition of electrolyte, and thickening of SEI film, occurs, and these microscopic changes lead to a significant increase in internal resistance of the battery. This means that at the same charge-discharge rate, the ohmic heat generation rate of the aged battery will be much higher than that of the new battery, and its ability to withstand thermal stress is greatly reduced. If the temperature control system cannot sense the essential change of the thermal characteristics caused by the life decay sharply, the temperature control system still mechanically cools according to the standard of a new battery, serious consequences are caused, namely, under the heavy load working condition, the aged battery is extremely easy to accumulate heat due to heat dissipation lag, even serious thermal runaway accidents are caused, or unnecessary excessive cooling is carried out under the light load, so that the waste of valuable energy of the ship is caused. Disclosure of Invention In order to solve the technical problem that the prior art ignores the influence of battery aging on thermal characteristics, the invention provides a ship battery intelligent temperature control method based on life attenuation characteristics, which comprises the following steps: The method comprises the steps of synchronously sampling a real-time voltage sequence and a real-time current sequence of a battery module at high frequency, acquiring a reference parameter of the battery module and obtaining a state value of health degree of the battery according to current use condition, obtaining average temperature rise amplitude according to load intensity and internal heat distribution of the battery module, calculating an impedance aging thermosensitive factor according to the sensitivity degree of the current aging state of the battery module to thermal effect, combining the state value of health degree of the battery, obtaining a dynamic load thermal shock index according to the influence of current fluctuation characteristic and the real-time temperature rise amplitude to the aging degree, combining the thermal disturbance index, calculating a thermal runaway latency risk according to the influence degree of the non-uniform heat distribution condition to the battery condition, carrying out numerical conversion on the thermal runaway latency risk, generating a cooling gain coefficient, determining target cooling power according to the magnitude of the thermal runaway latency risk, converting the target cooling power into a bottom control signal, driving a cooling system to execute temperature regulation, and triggering parameter acquisition and calculation again based on the regulated temperature magnitude. The invention effectively solves the problems that the influence of state change on thermal characteristics is ignored and the passive control is carried out only by means of a fixed temperature threshold in the using process of the battery in the prior art, comprehensively evaluates the heating condition and the safety risk of the battery by collecting various data in the operation of the battery and combining the service life and the health condition of the battery, and further formulates a targeted temperature regulation