Low-Voltage Vehicle Battery Monitoring for Standstill Startup Failures
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Solution Overview
Problem
Low-voltage vehicle batteries in new energy vehicles experience capacity drop during prolonged standstill, leading to insufficient electric energy for starting the vehicle, causing startup failures.
Innovation Solution
A monitoring method and system that detects battery voltage and state of charge anomalies by comparing electric energy-related parameters with preset thresholds, generating an alarm and adjusting charging strategies based on historical data to prevent capacity degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the low-voltage vehicle battery operates during prolonged vehicle standstill, then the battery supplies electric energy to vehicle devices, but the battery capacity drops excessively causing startup failure
Solution Approach 1:
The system performs preliminary detection of battery voltage during vehicle standstill and generates anomaly analysis requests before the battery capacity drops to a critical level. By comparing voltage parameters against thresholds in advance, the system identifies potential capacity issues and alerts users before startup failure occurs, preventing the contradiction from manifesting.
Solution Approach 2:
The system establishes a feedback loop where battery voltage is continuously monitored during standstill, anomaly detection triggers analysis requests, and results feed back to users via alarm information. This closed-loop feedback mechanism enables real-time assessment of battery health and timely intervention, resolving the contradiction between energy supply and startup reliability.
2Measurement precision
If the battery voltage is monitored continuously during vehicle standstill, then the battery anomaly can be detected early, but the system complexity increases
Solution Approach 1:
The monitoring system leverages the existing battery management system and vehicle control units to perform self-detection and self-diagnosis. The body control module and vehicle control unit utilize available sensors and communication interfaces to generate anomaly analysis requests without requiring additional dedicated monitoring hardware, thereby achieving high detection accuracy while minimizing system complexity.
Solution Approach 2:
The system uses multi-functional existing components (body control module, vehicle control unit, communication interface) to perform multiple tasks including voltage monitoring, anomaly detection, data transmission, and alarm generation. This universal approach allows comprehensive battery monitoring during standstill without increasing device complexity, as existing components are utilized for multiple purposes.
Data Source
AI summary
The invention relates to the field of vehicle battery monitoring technologies, and in particular to a monitoring method, apparatus, and system for a low-voltage vehicle battery, a server, and a medium, to solve a technical problem that a capacity of an existing low-voltage vehicle battery drops too much, which causes a vehicle to fail to be started. For this purpose, the monitoring method according to embodiments of the invention includes the following steps: step S101: obtaining, in response to a received battery anomaly analysis request, an electric energy-related parameter of the low-voltage vehicle battery from the battery anomaly analysis request; and step S102: determining, based on a result of comparison between the electric energy-related parameter and a preset electric energy parameter threshold, whether a capacity of the low-voltage vehicle battery is anomalous, where the battery anomaly analysis request is request information output by a vehicle device during a vehicle standstill and when it is detected that a battery voltage of the low-voltage vehicle battery is less than or equal to a preset voltage threshold. Through the foregoing steps, the low-voltage vehicle battery whose capacity is anomalous can be identified in advance, so that a user can take measures in time.