CN-121979334-A - Temperature control method and system for hot roller process

CN121979334ACN 121979334 ACN121979334 ACN 121979334ACN-121979334-A

Abstract

The invention discloses a temperature control method and a temperature control system for a hot roller process, wherein the method comprises the steps of S1, dividing a roller body into a plurality of sectional control sections in the axial direction, respectively adopting temperature sampling data of each sectional control section, S2, predicting a temperature field of each sectional control section based on a thermodynamic simulation model, taking the temperature uniformity of the roller body in the axial direction as a target, fitting the temperature field of each sectional control section by utilizing the temperature sampling data and the temperature field change corresponding to each sectional control section, and S3, regulating the temperature of each sectional control section by utilizing the temperature field corresponding to each sectional control section.

Inventors

WANG JIAN
QIN YIYOU
CHEN ZHONGJU
ZHANG MANG

Assignees

苏州新中能源科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260130

Claims (10)

1. A temperature control method for a thermo roll process, comprising: s1, dividing a roller body into a plurality of sectional control intervals in the axial direction, and respectively adopting temperature sampling data of each sectional control interval; s2, predicting a temperature field of each sectional control interval based on a thermodynamic simulation model, and fitting the temperature field of each sectional control interval by using temperature sampling data and temperature field change corresponding to each sectional control interval with the uniform temperature of the roller body in the axial direction as a target; S3, adjusting the temperature of each sectional control interval by using a temperature field corresponding to each sectional control interval.
2. The temperature control method for a thermo roll process as claimed in claim 1, wherein the thermodynamic simulation model is: Wherein ρ (T) is the density of the roller body material when T, T is a temperature field, λ (T) is the thermal conductivity lambda and cp (T) of the roller body material when T are the specific heat capacity of the roller body material when T, q is the interfacial heat flow density, x, y and z are the axial, circumferential and radial coordinates of the roller body respectively, T is a time variable, Representing partial differentiation.
3. The temperature control method for a thermo roll process as defined in claim 2, wherein S2 further comprises: setting a first boundary condition: T α =T β +R×q Setting a second boundary condition: q loss =q meas Setting a third boundary condition: q=h(T r -T ev ）+εσ（T r 4 -T ev 4 ) Wherein T α represents the surface temperature of the roller body at the contact surface of the roller body and the material, T β represents the surface temperature of the material at the contact surface of the roller body and the material, R represents the contact thermal resistance, h represents the convection heat transfer coefficient, q represents the interface heat flow density, q loss represents the roller body heat flow density at the contact boundary of the roller body and the bearing, q meas represents the actually measured heat flow density value, T r represents the real-time temperature of the non-contact surface of the roller body, T ev represents the ambient temperature, epsilon represents the emissivity, sigma represents the Stefan-Boltzmann constant.
4. A temperature control method for a thermo roll process as claimed in claim 3, wherein fitting the temperature field of each segment control interval with the temperature sampling data and the temperature field variation corresponding to the segment control interval comprises: Constructing an objective function: J=∑ω i （T i -T exi ） 2 And under the first boundary condition, the second boundary condition and the third boundary condition, calculating a temperature field T i of the ith subsection control interval through the thermodynamic simulation model, and taking T exi and T i into an objective function, if J is more than 1 ℃ 2, adjusting a heat convection coefficient h and a contact thermal resistance R until J is less than or equal to 1 ℃ 2, wherein T exi represents a temperature sampling value corresponding to the ith subsection control interval.
5. The temperature control method for a thermo roll process as defined in claim 4, wherein S3 comprises: Calculating a temperature field T i through the thermodynamic simulation model, and determining a target heat flow density q tai of the ith segmented control interval based on the temperature field T i ; And determining the heating power Pi of the ith segmented control interval through the target heat flux density q tai , wherein the adopted formula is as follows: P i =q tai ×A/η q tai =k×（T ta -T i ）+q loss Where A represents the heating area of the segment control section, η represents the thermal efficiency of the heating device, and T ta represents the target temperature field.
6. The temperature control method for a hot roll process according to any one of claims 1 to 5, wherein at least 3 of the segment control sections are divided every equal interval network in the axial direction of the roll body based on the roll body structure.
7. A temperature control system for a thermo roll process, comprising a controller configured to perform the method of any one of claims 1 to 6.
8. The temperature control system for a thermo roll process as defined in claim 7, further comprising a plurality of embedded sensors, the embedded sensors being connected to the controller; and arranging the embedded sensors at equal intervals in the axial direction of the roller body.
9. The temperature control system for a hot roll process of claim 7, further comprising a resistance wire, wherein the controller is coupled to the resistance wire, wherein the controller is configured to heat the roll body via the resistance wire.
10. The temperature control system for a hot roll process of claim 7, further comprising a server communicatively coupled to the controller, the server configured to archive control process data of the controller.

Description

Temperature control method and system for hot roller process Technical Field The embodiment of the invention relates to the technical field of automatic control, in particular to a temperature control method and a temperature control system for a hot roller process. Background As the hot roller process is an important technology in the lithium battery manufacturing and rolling process, with the continuous improvement of the requirements on battery performance and manufacturing cost, the optimization and application of the hot roller process will continue to be an important direction of lithium battery research and industrial development. In the prior art, the hot roller process has the defects that the temperature of a roller cannot be accurately controlled in the production process, and the temperature of a roller body is easy to be uneven. The uneven temperature can cause uneven heating of the electrode material and further influence the rearrangement and compaction effects of active substances, conductive agents and binder particles, uneven stress of the electrode in the rolling process can cause ripple, thickness deviation or local defects on the surface of the electrode, and therefore the assembly and long-term stability of the battery are influenced, and uneven temperature can cause the electrode material to adhere to a roller in the rolling process and further influence the quality and production efficiency of a product. Disclosure of Invention The invention provides a temperature control method and a temperature control system for a hot roller process, which aim to solve at least one defect in the prior art. In a first aspect, an embodiment of the present invention provides a temperature control method for a thermo roll process, including: s1, dividing a roller body into a plurality of sectional control intervals in the axial direction, and respectively adopting temperature sampling data of each sectional control interval; s2, predicting a temperature field of each sectional control interval based on a thermodynamic simulation model, and fitting the temperature field of each sectional control interval by using temperature sampling data and temperature field change corresponding to each sectional control interval with the uniform temperature of the roller body in the axial direction as a target; S3, adjusting the temperature of each sectional control interval by using a temperature field corresponding to each sectional control interval. Optionally, the thermodynamic simulation model is: wherein ρ (T) is the density of the roller body material when T, T is a temperature field, λ (T) is the thermal conductivity lambda and cp (T) of the roller body material when T are the specific heat capacity c and q of the roller body material when T are the interface heat flow density, x, y and z are the axial, circumferential and radial coordinates of the roller body respectively, T is a time variable, Representing partial differentiation. Optionally, S2 further includes: setting a first boundary condition: Tα=Tβ+R×q Setting a second boundary condition: qloss=qmeas Setting a third boundary condition: q=h(Tr-Tev）+εσ（Tr4-Tev4) Wherein T α represents the surface temperature of the roller body at the contact surface of the roller body and the material, T β represents the surface temperature of the material at the contact surface of the roller body and the material, R represents the contact thermal resistance, h represents the convection heat transfer coefficient, q represents the interface heat flow density, q loss represents the roller body heat flow density at the contact boundary of the roller body and the bearing, q meas represents the actually measured heat flow density value, T r represents the real-time temperature of the non-contact surface of the roller body, T ev represents the ambient temperature, epsilon represents the emissivity, sigma represents the Stefan-Boltzmann constant. Optionally, fitting the temperature field of each segment control interval with the temperature sampling data and the temperature field variation corresponding to the segment control interval includes: Constructing an objective function: J=∑ωi（Ti-Texi）2 And under the first boundary condition, the second boundary condition and the third boundary condition, calculating a temperature field T i through the thermodynamic simulation model, and bringing T exi and T i into an objective function, and if J is more than 1 ℃ 2, adjusting a heat convection coefficient h and a contact thermal resistance R until J is less than or equal to 1 ℃ 2. Optionally, S3 includes: Calculating a temperature field T i through the thermodynamic simulation model, and determining a target heat flow density q tai of the ith segmented control interval based on the temperature field T i; And determining the heating power Pi of the ith segmented control interval through the target heat flux density q tai, wherein the adopted formula is as follows: Pi=qtai×A/η qtai=k×（