Battery temperature monitoring point identification and abnormality detection method, apparatus and electronic device

A battery temperature monitoring point identification and abnormality detection apparatus, comprising:

• a model establishment unit, configured to establish a second-order RC equivalent circuit model of a battery in a battery module;
• an identification unit, configured to perform parameter identification on the second-order RC equivalent circuit model to obtain an optimal parameter;
• perform optimal parameter identification on the second-order RC equivalent circuit model by using a Kalman filter algorithm to identify a function parameter in a charging and discharging process of the battery;
• a distance measurement unit, configured to obtain distances between temperature monitoring points in the battery module and the battery by using the obtained optimal parameter;
• establish a lumped heat transfer equation of the battery by using the optimal parameter of the function parameter, and establish a lumped heat transfer equation by using the optimal parameter and obtain the distances between the temperature monitoring points in the battery module and the battery, wherein
• the lumped heat transfer equation is expressed as:
• ρ
• *
• C
• p
• *
• dT
• dt
• =
• Q
• total
• V
• +
• A
• *
• h
• *
• (
• T
• amb
• -
• T
• )
• V
• +
• ∑
• i
• n
• λ
• ⁢
• (
• T
• i
• -
• T
• )
• dist
• i
• 2
• ,
• wherein ρ is an equivalent density of the battery, Cp is a specific heat capacity of the battery, dT is a temperature difference at a previous time instant, dt is a time difference between two time instants, Qtotal is a total heat generation of the battery, A is a surface area of the battery, h is a convection heat transfer coefficient, Tamb is an ambient temperature, T is a temperature of the battery, n is a quantity of the temperature monitoring points, λ is a thermal conductivity, Ti is a temperature value measured by an i-th temperature monitoring point, disti is a distance from the battery to the i-th temperature monitoring point;
• and
• a result unit, configured to determine effectiveness of the temperature monitoring points based on an obtained distribution of the distances between the temperature monitoring points and the battery.

A non-transitory computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements steps of the battery temperature monitoring point identification and abnormality detection method, wherein the method is applied to a battery module, a temperature sensor inside the battery module is determined as a temperature monitoring point of a battery, and the method comprises:

• establishing a second-order RC equivalent circuit model of the battery in the battery module;
• performing parameter identification on the second-order RC equivalent circuit model to obtain an optimal parameter;
• performing optimal parameter identification on the second-order RC equivalent circuit model by using a Kalman filter algorithm to identify a function parameter in a charging and discharging process of the battery;
• obtaining distances between a plurality of temperature monitoring points in the battery module and the battery by using the obtained optimal parameter;
• establishing a lumped heat transfer equation of the battery by using the optimal parameter of the function parameter, and establishing a lumped heat transfer equation by using the optimal parameter and obtaining the distances between the temperature monitoring points in the battery module and the battery, wherein
• the lumped heat transfer equation is expressed as:
• ρ
• *
• C
• p
• *
• dT
• dt
• =
• Q
• total
• V
• +
• A
• *
• h
• *
• (
• T
• amb
• -
• T
• )
• V
• +
• ∑
• i
• n
• λ
• ⁢
• (
• T
• i
• -
• T
• )
• dist
• i
• 2
• ,
• wherein ρ is an equivalent density of the battery, Cp is a specific heat capacity of the battery, dT is a temperature difference at a previous time instant, dt is a time difference between two time instants, Qtotal is a total heat generation of the battery, A is a surface area of the battery, h is a convection heat transfer coefficient, Tamb is an ambient temperature, T is a temperature of the battery, n is a quantity of the temperature monitoring points, λ is a thermal conductivity, Ti is a temperature value measured by an i-th temperature monitoring point, disti is a distance from the battery to the i-th temperature monitoring point;
• and
• determining effectiveness of the temperature monitoring points based on an obtained distribution of the distances between the temperature monitoring points and the battery.