Adaptive Electrochemical Mapping for Energy Storage Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for predicting electrochemical mapping parameters in rechargeable energy storage systems (RESS) are inaccurate, leading to inefficient and imprecise control of RESS and vehicles, particularly in lithium chemistries, due to the lack of a perfect representation of RESS behavior and the impracticality of extensive calibration schemes.
Innovation Solution
A method and system that adaptively determine electrochemical mapping parameters by combining multiple sources, such as equivalent circuit models and chemical mapping data, using adaptive gains and factors based on the operating state of the RESS, to provide accurate and real-time estimates without expanding the circuit model or requiring extensive calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If equivalent circuit models are used to represent RESS, then the system can be controlled and monitored, but the model does not provide a perfect representation of RESS behavior and is inaccurate under certain conditions
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting electrochemical mapping parameters (resistance and capacitance values) based on the operating state of the RESS. The system selects from multiple electrochemical mapping parameter sources and adapts parameters according to state of charge, temperature, and other operating conditions, transforming static circuit model parameters into dynamic values that accurately represent RESS behavior across different operating states.
2Measurement precision
If calibration schemes are added to improve model accuracy, then parameter precision improves, but the system becomes slower and more cumbersome
Solution Approach 1:
The patent implements dynamics by creating an adaptive system that automatically adjusts electrochemical mapping parameters in real-time based on operating conditions. The control system dynamically selects from multiple parameter sources and applies adaptive gains and factors without requiring manual calibration or extensive computational processing, enabling the system to adapt to changing RESS states while maintaining computational efficiency for vehicle control applications.
3Reliability
If more resistance-capacitance elements are added to the circuit model, then model accuracy improves, but the system becomes slower and more cumbersome
Solution Approach 1:
The patent applies segmentation by dividing the RESS into multiple electrochemical cells and representing each cell with its own set of electrochemical mapping parameters. The system selectively models individual cells or groups of cells based on their specific operating conditions, allowing accurate characterization of RESS behavior while maintaining computational efficiency by avoiding the need to model every cell with full complexity at all times.
4Ease of manufacture
If static electrochemical mapping parameters are used, then the system is simple to implement, but the control is inefficient and imprecise under varying operating conditions
Solution Approach 1:
The patent implements universality by creating a multi-functional control system that can operate with different electrochemical mapping parameter sources depending on the operating state. The system universally handles multiple parameter sources (equivalent circuit models, electrochemical models, lookup tables) and selects the most appropriate source for each operating condition, providing both simplicity and accuracy across the full range of RESS operations without requiring separate control systems for different conditions.
Data Source
AI summary
A method of predicting an electrochemical mapping parameter in a vehicle that derives at least a portion of its motive power from an energy storage system is provided. The method may comprise providing a plurality of electrochemical mapping parameter sources capable of rendering one or more electrochemical mapping parameters selected from the group consisting of resistance and capacitance and selecting at least one electrochemical mapping parameter source capable of rendering one or more electrochemical mapping parameters based on the state of the energy storage system. The method may also comprise determining an adaptive gain and determining an adaptive factor based on the operating state of the vehicle or the energy storage system. The method may also comprise adapting the one or more electrochemical mapping parameters based on the adaptive factor and adaptive gain to provide an adapted electrochemical mapping parameter value.