18223188. APPARATUS AND METHOD FOR ESTIMATING STATE OF CHARGE OF BATTERY simplified abstract (Kia Corporation)
Contents
APPARATUS AND METHOD FOR ESTIMATING STATE OF CHARGE OF BATTERY
Organization Name
Inventor(s)
Jin Hyeong Park of Yeongdong-gun (KR)
APPARATUS AND METHOD FOR ESTIMATING STATE OF CHARGE OF BATTERY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18223188 titled 'APPARATUS AND METHOD FOR ESTIMATING STATE OF CHARGE OF BATTERY
Simplified Explanation:
This patent application describes a method for estimating the state of charge (SOC) of a battery by analyzing voltage and current measurements, estimating resistance parameters of battery models, comparing measured voltage values with open circuit voltage (OCV) values, and determining probabilities to identify the battery model that best fits the data to estimate the SOC value.
- Measuring initial voltage and current of the battery
- Estimating resistance parameters of battery models based on the measured initial values
- Converting estimated resistance parameters by comparing measured voltage with OCVs
- Determining probabilities based on difference values between estimated and measured voltage values
- Fusing OCV values based on model information and weights
- Estimating SOC value based on the fused OCV
Key Features and Innovation:
- Advanced method for estimating SOC of a battery
- Utilizes resistance parameters and OCV values for accurate estimation
- Incorporates probabilities and model information for improved accuracy
- Fuses OCV values to enhance estimation of SOC
- Provides a comprehensive approach to battery SOC estimation
Potential Applications:
- Electric vehicles
- Renewable energy storage systems
- Portable electronic devices
- Grid energy storage
- Battery management systems
Problems Solved:
- Inaccurate SOC estimation in batteries
- Lack of reliable methods for determining battery health
- Limited understanding of battery performance over time
- Challenges in optimizing battery usage and longevity
- Difficulty in predicting battery behavior under different conditions
Benefits:
- Enhanced accuracy in estimating battery SOC
- Improved battery management and performance
- Extended battery lifespan
- Optimal utilization of battery capacity
- Enhanced safety and reliability of battery systems
Commercial Applications:
Battery Management System Optimization: Enhancing battery performance and longevity through accurate SOC estimation and management.
Prior Art:
Prior research in battery SOC estimation methods using resistance parameters and OCV values.
Frequently Updated Research:
Ongoing studies on battery modeling and SOC estimation techniques for various applications.
Questions about Battery SOC Estimation:
1. How does this method compare to traditional battery SOC estimation techniques? 2. What are the potential limitations of this approach in real-world battery management systems?
Original Abstract Submitted
A method of estimating an SOC value of a battery, includes measuring an initial voltage and an initial current of the battery, estimating resistance parameters of respective battery models based on the measured initial voltage and the measured initial current, converting the estimated resistance parameters by comparing an actually measured voltage value with OCVs determined through the estimated resistance parameters, determining probabilities that the battery corresponds to the respective battery models based on difference values between voltage values of the battery models estimated based on the estimated resistance parameters of the respective battery models and the actually measured voltage value, determining a fused OCV by applying weights to the probabilities that the battery corresponds to the respective battery models based on model OCV information of the respective battery models determined based on the converted resistance parameters, and estimating the SOC value of the battery based on the fused OCV.
