Battery Management System Using Physics-Based State Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Rechargeable lithium batteries experience capacity reduction due to undesirable side reactions during repeated charge/discharge cycles, leading to reduced power storage and extended charge times, which existing methods attempt to mitigate by controlling charge/discharge rates but result in peak power reduction.
Innovation Solution
A battery management system that estimates and predicts states and parameters using an extended Kalman filter, applying physics-based models with differential algebraic equations to regulate battery operation based on measured characteristics like voltage, current, and temperature, thereby optimizing charging and discharging processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the charge/discharge rate is limited to minimize side reactions, then battery capacity is preserved, but charge time is extended and peak power is reduced
Solution Approach 1:
The patent implements dynamic charge rate adjustment based on real-time battery state estimation. The system continuously monitors battery parameters (voltage, current, temperature) and adapts the charge/discharge rate according to the estimated state of health and state of charge, allowing higher rates when the battery can tolerate them and lower rates when side reactions are a concern, thus optimizing both capacity preservation and charging speed
Solution Approach 2:
The system employs a feedback mechanism where battery states are continuously estimated using an extended Kalman filter that processes measurements of voltage, current, and temperature. This feedback loop allows the battery management system to adjust operating parameters in real-time, preventing excessive side reactions while maximizing charge/discharge rates within safe operational limits
2Reliability
If the charge/discharge rate is limited to minimize side reactions, then battery capacity is preserved, but peak power output is reduced
Solution Approach 1:
The system dynamically adjusts the charge/discharge rate based on real-time battery state estimation. By continuously monitoring battery parameters and adapting the operating rate, the system allows higher power output when the battery state permits and reduces rates when side reactions would compromise capacity, thus maintaining peak power capability while preserving long-term capacity
Solution Approach 2:
The patent changes operational parameters (charge/discharge rate) based on estimated battery states. The system calculates optimal operating parameters that balance power output requirements with capacity preservation needs, adjusting these parameters in real-time according to the battery's state of health and state of charge to maximize both power and capacity performance
Data Source
AI summary
A method of managing a battery system, the battery system including at least one battery cell, at least one sensor configured to measure at least one characteristic of the battery cell, and a battery management system including a microprocessor and a memory, the method comprising receiving by the battery management system, from the at least one sensor at least one measured characteristic of the battery cell at a first time and at least one measured characteristic of the battery cell at a second time. The battery management system estimating, at least one state of the battery cell by applying a physics-based battery model, the physics based battery model being based on differential algebraic equations; and regulating by the battery management system, at least one of charging or discharging of the battery cell based on the at least one estimated state.