新能源电池的智能管理方法及系统
By monitoring and analyzing the driving scenarios and load performance of new energy vehicles, future load pressure can be predicted, and intelligent management strategies can be formulated. This solves the problem that the new energy battery management system cannot adapt to changing scenarios in real time, and improves battery efficiency and safety.
CN121822155BActive Publication Date: 2026-07-17ZHUHAI RENRUI ELECTRONIC TECHNOLOGY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHUHAI RENRUI ELECTRONIC TECHNOLOGY CO LTD
- Filing Date
- 2026-03-05
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing new energy battery management systems cannot adapt to changing driving scenarios and load demands in real time, resulting in low battery utilization efficiency and even safety hazards.
Method used
By monitoring the driving scenarios and load performance of new energy vehicles, collecting operational data from relevant functional modules, and combining machine learning and data mining technologies, future load pressure can be predicted, and management strategies can be formulated based on battery scheduling strategies.
Benefits of technology
This has improved the efficiency of new energy batteries, extended their service life, and enhanced the safety and reliability of new energy vehicles, laying the foundation for sustainable transportation development.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN121822155B_ABST
Abstract
本发明涉及电池管理的技术领域，公开了一种新能源电池的智能管理方法及系统，对装载有新能源电池的新能源车辆进行驾驶场景与负载表现的监控，得到新能源电池的驾驶场景特征与负载表现特征，采集新能源车辆中与新能源电池存在功能性关联的功能模块的运行表现数据，结合驾驶场景特征与负载表现特征对新能源电池进行未来负荷压力的预测，得到负荷预测信息，根据预设的电池调度策略对负荷预测信息进行适应性分析，得到新能源电池的管理策略。
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