Battery health state assessment method

A battery health status and health status technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve problems such as inaccurate evaluation of rated capacity and internal resistance, and numerous influencing parameters

Active Publication Date: 2016-11-23
罗斯德尔智能汽车(重庆)有限公司
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Problems solved by technology

To avoid problems such as inaccurate evaluation of rated capacity and internal resistance and numerous influencing parameters in the prior art

Method used

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Embodiment Construction

[0029] Below, the specific implementation manners of the present invention will be further described in conjunction with the accompanying drawings.

[0030] As shown in Figure l, figure 2 Shown, concrete implementation process and working principle of the present invention are as follows:

[0031] A. Collect the historical characteristic parameters of the battery life during the decay of the battery health state under standard working conditions, and standardize the characteristic parameters;

[0032] B. The characteristic parameters after standardized processing are composed of algorithm test data sets, and the abnormal point detection method based on angle distribution is used to establish a battery health status evaluation algorithm based on abnormal point detection;

[0033] C. Use the battery health state evaluation algorithm in B to detect and analyze the test data set, and count the abnormal set state of the characteristic parameter set sequence of the battery under d...

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Abstract

The invention discloses a battery health state assessment method used for assessing health state of a power battery system in real time. First, battery history feature parameters (U, I, T, SOC) under different SOH values are obtained and a four-dimensional detection sequence is obtained after standard treatment. An angle distribution based abnormal point detection method is employed for dividing the initial detection sequence into a normal set, a boundary set and an abnormal set and the three sets are all updated in real time according to an FIFO method. A calculation sequence includes a normal set, a boundary set and a next calculation point. When the last point calculation is completed, the calculation sequence is updated and the judgment of the next calculation point is performed. The state of the abnormal set in a battery service lifetime data set is identified accurately and a model of the relation between the service lifetime data abnormal set state and the battery health state is established. According to the invention, only the voltage, current, temperature and SOC of the battery system are extracted and the abnormal set state is judged accurately through an abnormal point detection algorithm, so that the model of the relation between the abnormal set state and the health state is obtained and a reliable new approach is provided for data driven online real time assessment of the battery health state.

Description

technical field [0001] The invention belongs to the technical field of power batteries, and in particular relates to a battery health status evaluation method. Background technique [0002] Environmental pollution, energy shortage and increasing demand for automobiles force the automobile industry to develop towards electrification. As the power source of electric vehicles, the battery system has a major impact on the power, economy and safety of the vehicle. As one of the key tasks of battery state assessment, battery state of health assessment has attracted more and more attention from researchers at home and abroad, and a simple and efficient method for battery state of health assessment has become particularly important. [0003] At present, the common methods for evaluating the health status of vehicle power batteries are all realized by estimating and identifying the internal parameters of the battery. It is mainly divided into the following two categories: one is to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
Inventor 朴昌浩赵建飞江超禄盛张艳
Owner 罗斯德尔智能汽车(重庆)有限公司
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