An Online Estimation Method for Electricity of Vehicle-mounted Lead-acid Battery Based on chvt Model
A lead-acid battery and storage battery technology, applied in the measurement of electrical variables, measuring electricity, measuring devices, etc., can solve the problems of overcharge and discharge of the battery, unable to be applied, and the influence of the health factor of the battery is not considered, so as to prevent the shortening of the service life. , contribute to the output power, contribute to the effect of reasonable distribution
Active Publication Date: 2019-11-08
HEFEI UNIV OF TECH
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Problems solved by technology
MORITAY et al. used neural network algorithms to estimate the battery. Although it can effectively predict the remaining capacity of the battery, it can only be predicted in the offline state of parking; I-KunTseng et al. used analog data algorithms to estimate the state of charge of the battery. The accuracy of battery state of charge estimation is improved, but a large amount of training data is required; C.R.Gould et al. have tested and estimated the parameters in the battery model through experiments, and confirmed that one of the capacitors has a linear relationship with the battery's health state. The linear relationship establishes the battery health state estimation formula, but the linear relationship variable is single, which is an ideal battery health state estimation
Therefore, these methods cannot be applied in real car driving
[0004] In the existing battery power estimation, the open circuit voltage of the battery is the only research object for estimating the battery power. The change of the battery power is caused by a single factor of the open circuit voltage, and the influence of the battery health coefficient and the battery temperature on the battery power is not considered.
Due to the correlation between battery power and battery health coefficient, battery open circuit voltage and battery temperature, separate studies will affect the estimation accuracy of battery power, which will lead to frequent overcharge and discharge of the battery, affecting the normal start of the engine and the service life of the battery; at the same time Insufficient vehicle power
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[0032] In this example, if Figure 4 and Figure 5 As shown, a CHVT model-based online estimation method for vehicle lead-acid battery power is carried out as follows:
[0033] Step 1. Collect the terminal voltage V of the battery at time t in real time 0 (t), the circuit current I(t) and the internal temperature T(t) of the battery, and according to the terminal voltage increment of the battery at time t ΔV(t)=V(t)-V(t-1) and the battery at The circuit current increment at time t ΔI(t)=I(t)-I(t-1), use formula (1) to estimate the battery power estimation resistance coefficient α at time t 1 (t) and α 2 (t) and capacitance coefficient β 1 (t) and β 2 (t):
[0034]
[0035] In formula (1), T s Indicates the online sampling time interval; R 1 (t), R 2 (t), C 1 (t), C 2 (t) both represent the time-varying parameters of the lead-acid battery, where R 1 (t) represents the polarization resistance inside the battery at time t, R 2 (t) represents the internal self-disc...
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The invention discloses an online estimation method for the power of a vehicle-mounted lead-acid storage battery based on a CHVT model, which is characterized in that an intelligent battery sensor istaken as the core, the intelligent battery sensor acquires storage battery terminal voltage, storage battery circuit current and a storage battery internal temperature in real time and performs estimation on a power estimation coefficient according to the terminal voltage, the circuit current and the internal temperature, then a time-varying parameter is calculated according to the estimated powerestimation coefficient, then a health coefficient of the storage battery is estimated according to the calculated time-varying parameter, and open circuit voltage of the storage battery is calculatedat the same time; a CHVT storage battery power estimation model is built, and finally estimation is performed on the power of the storage battery through the CHVT model according to the storage battery health coefficient, the storage battery open circuit voltage and the storage battery internal temperature. According to the online estimation method, the power of the storage battery can be estimated online in real time under the condition that the output power and the load demand of the storage battery are unknown beforehand, the service conditions of the storage battery are optimized, and thus the service life of the vehicle-mounted lead-acid storage battery is prolonged.
Description
technical field [0001] The invention relates to a storage battery energy monitoring technology, in particular to a method for estimating battery power of an automobile lead-acid storage battery through online estimation of a function model. Background technique [0002] In order to cope with the government's increasingly stringent standards on automobile fuel economy and harmful gas emissions, and to meet the needs of vehicle dynamics and driver comfort, the automobile industry is sparing no effort to develop and implement a variety of energy management strategies and control strategies to extend battery life. service life to maximize the efficiency and accuracy of automotive energy management strategies. As one of the energy sources of the vehicle, the battery needs to be estimated more accurately to effectively improve vehicle energy management, optimize the use of the battery, and prolong the service life of the vehicle's lead-acid battery. [0003] The battery power est...
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IPC IPC(8): G01R31/387G01R31/389
CPCG01R31/382
Inventor 王跃飞孙召辉吴源刘白隽郭中飞郑成
Owner HEFEI UNIV OF TECH
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