Predictive Battery Preheating for Low-Temperature EV Power
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Solution Overview
Problem
Existing battery thermal management systems struggle to predictively pre-warm lithium secondary batteries with sufficient lead time and accuracy, leading to inefficient energy use and suboptimal performance at low temperatures.
Innovation Solution
A system and method that utilize a module to determine optimized heating temperatures and lead times for lithium secondary batteries based on input parameters such as vehicle use information, location, and weather, allowing for predictive pre-warming with minimal energy loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the battery is pre-warmed to improve low temperature performance, then the power output and performance increase, but the energy consumption increases
Solution Approach 1:
The system performs preliminary warming of the battery before the vehicle is actually driven. The controller predicts when the vehicle will be used and activates heating elements in advance to bring the battery to optimal temperature, ensuring full power availability when needed while avoiding unnecessary energy waste from continuous heating
Solution Approach 2:
The system dynamically adjusts the heating strategy based on predicted usage patterns, ambient temperature, and battery state. The controller modifies heating intensity and duration in real-time to achieve optimal temperature with minimum energy expenditure, rather than using fixed heating protocols
2Reliability
If the battery is pre-warmed with long lead time, then the performance optimization is achieved, but the energy loss from excessive heating increases
Solution Approach 1:
The system uses feedback from temperature sensors and usage pattern analysis to continuously refine heating decisions. The controller monitors battery temperature, ambient conditions, and actual usage timing to adjust heating intensity and duration, preventing both insufficient and excessive heating while minimizing energy waste
Solution Approach 2:
The system changes operational parameters such as heating temperature targets, heating duration, and heating intensity based on predicted usage scenarios. By dynamically adjusting these parameters rather than using fixed values, the system optimizes performance while minimizing energy loss from premature or excessive heating
3Use of energy by moving object
If the battery operates at high energy density, then the specific energy increases, but the low temperature performance deteriorates
Solution Approach 1:
The system compensates for the poor low-temperature performance of high energy density batteries by performing preliminary warming actions before cold-weather operation. The controller activates heating elements in advance to bring the battery to optimal operating temperature, ensuring that high energy density batteries can deliver their full power potential when needed
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 effectively pre-warms batteries to achieve desired performance levels at the time of use, while minimizing energy consumption and avoiding unnecessary heating.
Implementation Method 1
a heating device... wherein the signals result in heating of the battery
Data Source
AI summary
Set forth herein are systems and methods for determining battery heating conditions and pre-heating lead times of at least a minute or more, based on input parameters and sets of input parameters, to predictively and dynamically heat a secondary battery so that the battery has a specific power output and performance level when used in an electric or hybrid vehicle application.