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An electric vehicle power battery SOC detection system

A technology for electric vehicles and detection systems, which is applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of difficult to achieve ideal results and high real-time requirements, achieve good nonlinear approximation ability, reduce the number of training, and improve simulation. The effect of combined accuracy and generalization ability

Active Publication Date: 2018-05-29
四川欣智造科技有限公司
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Problems solved by technology

[0003] The invention provides an electric vehicle power battery SOC detection system. The invention effectively solves the problem that the battery SOC is a nonlinear, time-delayed, multivariable coupling and complex real-time system, and the real-time requirements are very high. According to traditional automobile The problem that the battery SOC estimation method is difficult to achieve ideal results

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  • An electric vehicle power battery SOC detection system
  • An electric vehicle power battery SOC detection system
  • An electric vehicle power battery SOC detection system

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Embodiment Construction

[0023] 1. Overall design of battery SOC detection system

[0024] The battery SOC detection system should have the following functions: 1) Parameter detection. Collect battery charging and discharging status in real time, and collect battery data including voltage, battery current, battery temperature, and battery voltage of single module; 2) SOC estimation. The system should collect parameters such as charge and discharge current and voltage in real time, and estimate the SOC through the corresponding algorithm. The remaining energy of the battery is equivalent to the amount of oil in a traditional car; 3) thermal management. The temperature of the battery is collected in real time, and the temperature of the battery is prevented from being too high through the control of the cooling device; 4) balanced control. Due to the individual differences of each battery and different usage status, the inconsistency of the battery will become more and more serious during the use proce...

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Abstract

The invention discloses an electric automobile power battery SOC (State of Charge) detection system. The characteristics lie in that the detection system comprises a battery parameter acquisition platform and a battery SOC estimation system, the battery parameter acquisition platform is responsible for real-time parameter acquisition for the voltage, current and temperature of an automobile power battery pack, and the battery SOC estimation system can accurately estimate a battery SOC value through the acquired parameters; and the battery SOC is a non-linear, delayed, multivariable coupling and complex highly demanding real-time system. The detection system effectively solves a problem that the traditional automobile battery SOC estimation method is difficult to achieve an ideal effect.

Description

technical field [0001] The invention relates to the technical field of battery detection equipment, in particular to an electric vehicle power battery SOC detection system. Background technique [0002] Accurate estimation of the State of Charge (SOC) of electric vehicle batteries is the premise to ensure the reliable operation of electric vehicles, and it is also an important basis for the use and maintenance of battery packs, which is of great significance to the promotion and development of electric vehicles. At present, the commonly used SOC estimation methods mainly include: ampere-hour integral method, open circuit voltage method, Kalman filter method, neural network method, etc. The ampere-hour integration method obtains the power consumption of the battery pack by calculating the integral of the current to time, and then obtains the remaining power, but it is essentially an open-loop prediction, and the existence of a pure integration link makes the error increase wi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/36
CPCG01R31/367G01R31/387
Inventor 王业琴赵志国马从国陈基础陈语嫣杨艳桑英军
Owner 四川欣智造科技有限公司
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