Battery Charging Route Control Using Predicted SOC and Temperature
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Solution Overview
Problem
Eco-friendly vehicles face long charging times due to large-capacity batteries, and existing methods are limited by hardware design, necessitating a solution that reduces charging time without altering the battery system's hardware.
Innovation Solution
A battery management device and method that estimates battery temperature and State of Charge (SOC) at potential stopovers, determines optimal charging times and points based on driving routes, and adjusts battery temperature to minimize charging time using artificial intelligence and predictive models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If large-capacity batteries are used to increase mileage, then the vehicle range is improved, but the charging time increases
Solution Approach 1:
The system performs preliminary actions by predicting battery temperature and SOC at future stopovers before the vehicle actually reaches them. The processor calculates estimated values in advance based on driving routes, allowing the system to identify optimal charging points ahead of time and prepare charging strategies, thereby reducing actual charging time when the vehicle stops.
2Loss of time
If battery temperature is adjusted to optimize charging, then charging time is reduced, but system complexity increases
Solution Approach 1:
The patent replaces complex mechanical or hardware-based temperature control systems with a software-based predictive algorithm. The processor uses calculations and predictions of battery temperature and SOC to determine optimal charging points, substituting physical complexity with computational logic that achieves the same temperature optimization goal without additional hardware complexity.
3Productivity
If real-time battery monitoring and prediction is implemented, then charging optimization is improved, but computational requirements increase
Solution Approach 1:
The system applies partial action by performing predictions only at relevant decision points along the driving route rather than continuously. The processor calculates estimated battery temperature and SOC specifically at stopovers where charging might occur, rather than maintaining constant computational monitoring, thereby reducing overall computational energy consumption while still achieving effective charging optimization.
Data Source
AI summary
The battery management device may include a battery that provides energy to a drive motor that drives a vehicle, a battery system which is configured for measuring a temperature and an state of charge (SOC) value of the battery and is configured to control the temperature of the battery and a processor. The processor is configured to determine an estimated battery temperature and an estimated SOC value of the battery at each of at least one stopover on an expected driving route of the vehicle to reach a destination of the vehicle, determine an estimated charging time for charging the battery to a preset capacity at the stopovers based on the estimated battery temperature and the estimated SOC value, determine a stopover, as a recommended charging point, where the estimated charging time is minimum among the stopovers and provide a user with a guidance for the recommended charging point.