EV Battery Pre-Conditioning Using Route-Aware Charging Station Selection
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Solution Overview
Problem
Charging times for lithium-ion batteries in eco-friendly vehicles are significantly prolonged under low-temperature conditions, and existing temperature-raising functions in these vehicles do not effectively improve charging performance.
Innovation Solution
A pre-conditioning system that utilizes charging infrastructure information, GPS navigation, and a battery management system to select optimal charging stations and preheat the battery based on environmental and state conditions, ensuring efficient charging even at low temperatures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If charging is performed at low temperature, then charging can be conducted, but charging time is significantly prolonged and charging performance deteriorates
Solution Approach 1:
The system performs preliminary heating of the battery before charging by utilizing idle time during route planning. The controller identifies low-temperature conditions and activates the battery heater in advance, ensuring the battery reaches optimal temperature before charging begins, thus resolving the contradiction between low temperature and charging speed
Solution Approach 2:
The battery heater acts as an intermediary component that mediates between the low-temperature environment and the charging process. By introducing this thermal mediation mechanism, the system can maintain appropriate battery temperature during charging, thereby improving charging speed without requiring high ambient temperatures
2Temperature
If existing temperature-raising functions are used, then battery temperature increases, but charging performance is not effectively improved
Solution Approach 1:
The system implements feedback control by continuously monitoring battery temperature, charging station environment temperature, and state of charge. Based on this feedback, the controller dynamically adjusts heating duration and intensity, ensuring optimal charging performance rather than simply raising temperature without regard to actual charging conditions
Solution Approach 2:
The system dynamically adapts the pre-conditioning strategy based on real-time conditions including battery state of charge, ambient temperature at charging station, and predicted charging duration. This dynamic adjustment ensures that temperature management is optimized for actual charging performance rather than following a fixed heating protocol
3Productivity
If battery pre-heating is performed, then charging performance improves, but energy consumption increases and charging infrastructure information is required
Solution Approach 1:
The system changes operational parameters dynamically by adjusting heating duration and power based on multiple factors including battery state of charge, ambient temperature, and predicted charging time. This parameter optimization ensures that energy is consumed efficiently - only when and to the extent necessary to improve charging performance, rather than using fixed high-energy heating protocols
Solution Approach 2:
The system performs preliminary assessment of charging conditions using infrastructure information before deciding whether pre-heating is necessary. By evaluating environment temperature, charging station capabilities, and route timing in advance, the system可以避免 unnecessary pre-heating operations, thereby reducing energy consumption while maintaining charging performance when it matters
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system significantly reduces charging time and enhances charging performance by optimizing battery temperature before arrival at the charging station, utilizing real-time data to select suitable stations and manage battery heaters.
Implementation Method 1
warming the battery at a preset time point when the preset state condition is satisfied
Data Source
AI summary
A method of the pre-conditioning system for a battery of a vehicle includes: receiving an input of a destination of the vehicle; generating and outputting a destination route to the destination; searching for information on one or more battery charging stations located within a predetermined range on or around the destination route; determining whether each of the searched battery charging stations satisfies a preset environmental condition; adding a charging station path to a charging station selected among charging stations provided with the environmental condition to the destination route; determining whether the battery of the vehicle satisfies a preset state condition; and warming the battery at a preset time point when the preset state condition is satisfied.