Intelligent SOC (State of Charge) prediction device for electric vehicle power battery

A technology for intelligent prediction and electric vehicles, applied in electric vehicles, battery/fuel cell control devices, measurement devices, etc., can solve the problems that the control method is difficult to achieve ideal results and high real-time requirements, and achieve good nonlinear approximation ability, training The effect of reducing the number of times and overcoming the problem of local optimum

Active Publication Date: 2017-12-05
合肥龙智机电科技有限公司
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Problems solved by technology

[0003] The invention provides an intelligent prediction device for power battery SOC of electric vehicles. The invention effectively solves the problem that battery SOC is a nonlinear, time-delayed, multi-variable coupling and complex real-time system, and the real-time requirements are very high. Conventional The problem that the control method is difficult to achieve the desired effect

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  • Intelligent SOC (State of Charge) prediction device for electric vehicle power battery
  • Intelligent SOC (State of Charge) prediction device for electric vehicle power battery
  • Intelligent SOC (State of Charge) prediction device for electric vehicle power battery

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Embodiment Construction

[0029] 1. Overall design of battery SOC intelligent prediction device

[0030] The battery SOC intelligent prediction device 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 prediction. 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 se...

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Abstract

The invention discloses an intelligent SOC (State of Charge) prediction device for an electric vehicle power battery, which is characterized by comprising a battery parameter acquisition platform and a battery SOC prediction system, wherein the battery parameter acquisition platform is used to acquire real-time parameters of voltage, current, temperature, and ambient temperature of the vehicle power battery pack; and the battery SOC prediction system is used to predict the battery SOC value through the acquired real-time parameters. The battery SOC is a nonlinear, delayed, multivariable-coupling, and complex real-time system with extremely high real-time performance requirements. The problem that the conventional prediction device can not achieve ideal battery SOC prediction precision effects can be effectively solved.

Description

technical field [0001] The invention relates to the technical field of battery detection equipment, in particular to an intelligent SOC prediction device for an electric vehicle power battery. 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 t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36B60L11/18
CPCB60L58/10G01R31/3648G01R31/367G01R31/388Y02T10/70
Inventor 马从国王建国王业琴韩黎洪佳乐王浩杨玉东陈亚娟周艳孙慧敏
Owner 合肥龙智机电科技有限公司
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