A Model Reversing Dynamic Algorithm for Ultimate Power of Traction Battery Pack

A power battery pack and limit power technology, which is applied in computing, electrical digital data processing, special data processing applications, etc., can solve the problems of limit power estimation error, increased calculation error, and failure to consider polarization voltage, etc.

Active Publication Date: 2017-11-21
WANXIANG 123 CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although the traditional method also uses the Thevenin equivalent circuit model of the battery to estimate the limit power value, there are the following defects in the estimation process: 1) The electromotive force (EMF) of the battery is a parameter value calculated through the experimental test look-up table, which is different from that of the battery The state of charge (SOC) corresponds to the temperature, and is greatly affected by the accuracy of the SOC when calculating the look-up table; 2) In the battery pack, due to the existence of battery consistency problems, the error will increase when estimating the limit power of the battery pack, which is likely to cause The battery is damaged; 3) The polarization voltage change during the pulse process is not taken into account in the calculation of the polarization voltage. The limit current is relatively large, and the polarization voltage change is also large, which will increase the error when estimating the limit power and easily cause battery damage.
In this technical scheme, the Thevenin equivalent circuit of the battery is also used, but there are the following deficiencies in data processing, because the equivalent capacitance value in parallel with the polarization resistance can not be obtained, it is omitted, simply using the polarization resistance and The current calculation of the polarization voltage will lead to a large error in the calculation result of the polarization voltage, which will lead to a large error in the estimation of the limit power; the calculation process ignores the existence of the hysteresis voltage, which will increase the calculation error; use the average operating voltage as the battery The electromotive force further increases the estimation error of the limit power, etc.

Method used

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  • A Model Reversing Dynamic Algorithm for Ultimate Power of Traction Battery Pack
  • A Model Reversing Dynamic Algorithm for Ultimate Power of Traction Battery Pack
  • A Model Reversing Dynamic Algorithm for Ultimate Power of Traction Battery Pack

Examples

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Embodiment

[0056] Example: as figure 1 The Thevenin equivalent circuit of a battery (single cell) is shown. In the figure, R is the DC internal resistance of the battery, Rp is the polarization internal resistance, τ=Rp×C is the time constant, Up is the polarization voltage, EMF is the electromotive force of the battery, EMF=Uocv+H, Uocv is the open circuit voltage, divided are the charge open circuit voltage (UocvChg) and discharge open circuit voltage (UocvDis), H is the hysteresis voltage, U is the terminal voltage of the battery. In this embodiment, when calculating H(t), H(t)=(UocvChg-UocvDis) / 2 is used, which is a positive value during charging and a negative value during discharging.

[0057] figure 2 The flow chart is shown, and the basic steps are as follows:

[0058] S100, establishing a polarization voltage model and a terminal voltage model according to the Thevenin equivalent circuit of the battery. according to figure 1 Establish the dynamic polarization voltage mat...

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Abstract

The invention discloses a model inverse dynamic algorithm for the extreme power of a power battery pack, and aims to avoid the influence of the state of charge (SOC) accuracy of a battery on an extreme power estimated value due to calculation of the electrodynamic potential of the battery through a mathematical model. The model inverse dynamic algorithm comprises the following steps: establishing a polarization voltage model of a single battery and a terminal voltage model of the single battery by adopting a Thevenin equivalent circuit; computing the direct-current resistance R, polarization parameter Rp and tau of the battery according to an HPPC (Hybrid Pulse Power Characterization) experiment, and establishing a corresponding relation through the SOC and a temperature; computing current EMF(t) by using a current sampled voltage value U(t) and current I(t); computing a polarization voltage Up(t+dt) after pulse time according to Up(t); calculating extreme current according to EMF(t) and Up(t+dt); comparing the extreme current with a system design required value Imax, and selecting lower current for calculating a voltage value U(t+dt) after the pulse time; and computing extreme power and charging extreme power.

Description

technical field [0001] The present invention relates to a power battery, in particular to a model-reverse dynamic algorithm for the limit power of a power battery pack. Background technique [0002] The power battery is the power source of the electric vehicle. During the operation of the vehicle, the power of the battery exhibits strong dynamic characteristics with the driving road conditions and the driver's operation. Accurately evaluate the charging and discharging power limit capabilities of the power battery in different states of charge, so as to achieve the optimal matching between the battery pack and the vehicle dynamic performance, meet the acceleration and climbing performance of the vehicle, and give full play to the energy recovery of motor regenerative braking At the same time, it has guiding value for avoiding overcharge and overdischarge and prolonging the service life of the battery. [0003] Although the traditional method also uses the Thevenin equivalen...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 王勇
Owner WANXIANG 123 CO LTD
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