Soft power outage battery management system used for electric vehicles

Abstract

The invention discloses a soft power outage battery management system used for electric vehicles. The soft power outage battery management system includes a BMS (battery management system) controller 3 which is used for judging whether to perform charging and discharging control and system power outage management, a BMS charging and discharging triggering signal 4 which is used for triggering the BMS controller 3, and a power source on-off control module 1 which is used for controlling the switch-on or switch-off of power source input of the BMS the controller 3; in charging, the BMS charging and discharging triggering signal 4 can trigger the BMS controller 3 before the power outage of the system; and in discharging, the BMS controller 3 can realize time-delay control on the power outage of the BMS controller 3 itself through controlling the power source on-off control module 1. With the soft power outage battery management system used for the electric vehicles of the invention adopted, soft power outage of a BMS for the electric vehicles can be realized, and therefore, functions such as relay shutdown, power outage instruction transmission and real-time updated key parameter storage can be realized before the power outage of the BMS for the electric vehicles, and protection and management of the BMS for the electric vehicles and finished automobile systems can be better realized.

Description

technical field [0001] The invention relates to a soft-off battery management system for an electric vehicle, which belongs to the field of electronic technology. Background technique [0002] Electric vehicles are an important development direction of new energy technology at present. The battery management system (Battery Management System, hereinafter referred to as BMS) is the intelligent center of its core component power battery pack, and is a bridge for communication between the battery pack and other electrical systems of electric vehicles. After the BMS is powered on, it can detect and judge the battery and its own state within 500 ms, and perform normal work and system communication; but when the power is turned off, the system power supply will be directly disconnected, and the BMS cannot execute the corresponding state (such as The normal power-off preparation of the relay controlled by BMS), cannot inform other controllers of their power-off status in advance, a...

AI Technical Summary

Problems solved by technology

After the BMS is powered on, it can detect and judge the battery and its own state within 500 ms, and perform normal work and system communication; but when the power is turned off, the system power supply will be directly disconnected, and the BMS cannot execute the corresponding state (such as The normal power-off preparation of the relay controlled by BMS), cannot inform other controllers of their power-off status in advance, and cannot effectively store various key parameters (such as SOC value, remaining capacity value, etc.) If the changed parameters are stored in real time, it will seriously affect the life of EEPROM (Electrically Erasable Programmable Read-Only Memory). For example, if a 100 AH battery is stored every 0.1 AH, 2000 charging and discharging cycles need to save 4 million times, greatly exceeding the self-erasing and writing life of EEPROM by 100,000 times

Therefore, it is very important to realize the soft power-off management of BMS, but there is no systematic and effective solution to this problem

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