Battery Usage Habit Prediction System for Lifespan Extension
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Solution Overview
Problem
Conventional battery sensors only monitor the state of charge (SOC) of vehicle batteries, failing to prevent performance deterioration due to inadequate prediction of battery usage habits and discharge tendencies, especially during prolonged parking or short driving times, which shortens battery lifespan.
Innovation Solution
A system that includes a battery sensor to measure SOC, driving, and sleep/wake-up times, a controller to calculate power generation and consumption, and a storage unit to analyze and store data, predicting battery usage habits and discharge tendencies by comparing average power generation and consumption, and informing the driver through an AVN system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional battery sensors only monitor SOC, then the monitoring function is simple, but battery performance deterioration cannot be prevented
Solution Approach 1:
The battery sensor is enhanced to perform multiple functions beyond basic SOC monitoring. It now calculates battery power generation amount during driving time, battery consumption during parking time, and determines battery usage habits and discharge tendencies. This multi-functional approach prevents battery performance deterioration while maintaining a single sensor unit.
Solution Approach 2:
The sensor implements feedback mechanisms by continuously monitoring battery parameters, calculating power generation and consumption, and determining usage habits. The controller uses this feedback information to provide warnings to drivers about improper battery usage, enabling preventive action before performance deterioration occurs.
2Ease of operation
If parking time is long or driving time is short, then vehicle usage is convenient, but battery is easily discharged and lifespan decreases
Solution Approach 1:
The system provides feedback to drivers about their battery usage habits by analyzing the ratio of power generation to consumption over multiple cycles. When discharge tendencies are detected due to prolonged parking or short driving, the controller issues warnings to encourage behavior changes that will extend battery lifespan while maintaining usage convenience.
Solution Approach 2:
The system performs preliminary analysis of battery usage patterns over multiple driving cycles before issuing warnings. By calculating average power generation and consumption amounts and comparing their ratio against reference values, the system proactively identifies problematic usage habits before they cause significant battery damage, allowing drivers to adjust their behavior in advance.
Data Source
AI summary
The present invention relates to a system for predicting battery usage habits and battery discharge tendencies. The system includes a battery sensor that senses a state of charge (SOC) of a battery and a controller hat calculates battery power generation amount during driving time of a vehicle and battery consumption during parking time of the vehicle based on information sensed by the battery sensor. A storage unit for stores the battery power generation amount, the battery consumption, time at which the vehicle is tuned on/off, and time at which the controller enters a sleep/wake-up state.