An automobile tri-electricity safety protection system based on AI active magnetic regulation

By using AI-driven active magnetic control and three-layer composite protective materials, the problems of magnetic field loss and thermal runaway in the three-electric system of new energy vehicles have been solved, achieving improvements in safety and range without affecting the original vehicle structure and cost.

CN122143644APending Publication Date: 2026-06-05王晓玲

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
王晓玲
Filing Date
2026-03-12
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing electric vehicle systems suffer from significant stray magnetic field losses, battery overheating, and thermal runaway risks. Current technologies cannot achieve coordinated optimization of active intervention and range improvement, and have insufficient safety redundancy and high energy consumption.

Method used

The system employs AI to perceive the status of the three electrical components (battery, motor, and electronic control system) in real time and dynamically adjust the magnetic field. Combined with three layers of composite protective materials, the system utilizes a three-electric status perception unit, an AI active magnetic control core unit, an active magnetic control execution module, and a vehicle safety collaborative control unit to achieve dynamic adjustment of the magnetic field and safety strategies.

Benefits of technology

It reduces eddy current losses by 8% to 18%, lowers battery temperature by 3°C to 7°C, increases range by 5% to 12%, delays thermal runaway by 15 to 35 minutes under extreme conditions, and can be pre-installed or retrofitted without altering the original vehicle structure, keeping costs under control.

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Abstract

The application discloses a kind of based on AI active magnetic regulation and control's automobile three electric safety protection system, including perception unit, AI control unit, execution module, three-layer composite protective material and safety collaborative control unit, by AI real-time dynamic regulation and control magnetic field, in combination with magnetic shielding, high-temperature resistant flame-retardant and buffer structure, realize new energy automobile three electric system safety promotion and endurance optimization, can be front-mounted or rear-mounted, do not change original vehicle structure, with remarkable novelty, creativity and practicality.
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Description

Technical Field

[0001] This invention relates to the field of automotive electric vehicle safety technology, and in particular to an automotive electric vehicle safety protection system based on AI active magnetic control. Background Technology

[0002] The current electric drive system of new energy vehicles has problems such as large stray magnetic field loss, battery overheating, and high risk of thermal runaway. Existing technologies mostly adopt passive heat insulation or single magnetic shielding solutions, which cannot achieve synergistic optimization of active intervention and range improvement, and have defects such as insufficient safety redundancy and high energy consumption. Summary of the Invention

[0003] This invention provides an AI-based active magnetic control-based automotive three-electric safety protection system. By using AI to sense the status of the three electric components in real time and dynamically control the magnetic field, combined with a three-layer composite protective material, it achieves the dual goals of active safety and improved range.

[0004] The system includes a three-electric state sensing unit, an AI active magnetic control core unit, an active magnetic control execution module, a three-layer composite protective material, and a vehicle safety collaborative control unit.

[0005] The three-electric status sensing unit collects battery temperature, voltage, current, insulation impedance, magnetic field strength, and electromagnetic interference signals in real time.

[0006] The AI-powered active magnetic control core unit predicts magnetic field distribution, temperature trends, and abnormal operating conditions based on sensing data, and generates millisecond-level closed-loop control commands.

[0007] The active magnetic control execution module optimizes the magnetic field of the three-electric system according to the instructions, and dynamically adjusts the magnetic field strength range from 0 to 150 mT.

[0008] The three-layer composite protective material includes a magnetic shielding layer, a high-temperature resistant and flame-retardant layer, and a buffer and stabilizing layer.

[0009] The vehicle safety coordination control unit executes multi-level safety strategies to achieve magnetic regulation optimization, early warning prompts, power limiting, and high-voltage cutoff.

[0010] This invention can reduce eddy current losses by 8% to 18%, lower the average battery temperature by 3°C to 7°C, increase the driving range by 5% to 12%, and delay thermal runaway by ≥15 to 35 minutes under extreme conditions. The system can be pre-installed or retrofitted without altering the original vehicle structure, and the cost is controllable. It has significant novelty, inventiveness and practicality. Detailed Implementation

[0011] Example 1: The system is installed in a pure electric SUV, which improves the WLTP range by 6.2%, reduces the maximum battery temperature by 4.5°C, and delays thermal runaway under needle penetration conditions by 28 minutes.

[0012] Example 2: Aftermarket installation in ride-hailing vehicles, installation time ≤ 2 hours, improves range by 9.7% under high-speed conditions, and does not affect the original vehicle warranty.

Claims

1. A vehicle three-electric safety protection system based on AI active magnetic control, characterized in that, include: The three-electric status sensing unit is used to collect real-time data on the temperature, voltage, current, insulation impedance, magnetic field strength, and electromagnetic interference signals of the battery, motor, and high-voltage wiring harness. The AI ​​active magnetic control core unit is used to predict magnetic field distribution, predict temperature trends, identify abnormal operating conditions based on sensing data, and generate millisecond-level closed-loop control commands. The active magnetic control execution module is used to optimize the magnetic field of the three-electric system according to the control command. It dynamically controls the magnetic field strength range of 0 to 150 mT, and dynamically adapts the output without generating reverse electromagnetic interference. A three-layer composite protective material is used to cover the battery pack, motor housing and high-voltage wiring harness, including a magnetic shielding layer, a high-temperature resistant flame-retardant layer and a buffer stabilizing layer. The vehicle safety coordination control unit is used to execute multi-level safety strategies, including magnetic regulation optimization, early warning prompts, power limiting, and high-voltage cutoff.

2. The system according to claim 1, characterized in that, The AI ​​active magnetic control core unit has a response time of ≤100ms.

3. The system according to claim 1, characterized in that, The active magnetic control actuator has a magnetic shielding effectiveness of ≥20dB@10kHz~1GHz.

4. The system according to claim 1, characterized in that, The high-temperature resistant and flame-retardant layer has a temperature resistance of ≥1200℃.

5. The system according to claim 1, characterized in that, The system does not intrude on the original vehicle's BMS, uses non-intrusive sensors for data acquisition, requires no communication protocol access, does not modify the high-voltage circuit, and does not affect the original vehicle warranty.

6. The system according to claim 1, characterized in that, The system can improve WLTP driving range by 5% to 8% and high-speed driving range by 8% to 12%.

7. The system according to claim 1, characterized in that, The system can delay thermal runaway by ≥15 to 35 minutes under extreme conditions.