EV Battery SOC Buffer Masking for Sudden Charge-Drop Smoothing
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Solution Overview
Problem
Accurate estimation of state of charge (SOC) in electric vehicle batteries is challenging due to nonlinear relationships between battery voltage, current, and SOC, which are affected by factors like temperature and aging, leading to inaccurate SOC reporting and potential battery degradation.
Innovation Solution
A computer system that processes SOC data to determine an SOC correction based on measured and expected decrease rates, adjusting an SOC buffer to provide filtered SOC data, masking sudden drops and maintaining a stable SOC indication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If accurate SOC estimation is pursued, then battery lifetime is improved, but measurement precision deteriorates due to nonlinear relationships and environmental factors
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the SOC buffer based on measured SOC decrease rates and expected decrease rates. When the measured decrease rate exceeds the expected rate by a threshold, the system modifies the SOC buffer parameter to mask sudden drops, thereby stabilizing the reported SOC while protecting battery lifetime through controlled parameter adjustment.
2Ease of operation
If SOC buffer is increased to mask sudden drops, then operator anxiety is reduced, but actual SOC availability is masked leading to potential energy depletion
Solution Approach 1:
The patent implements partial action by applying SOC buffer masking only when specific conditions are met: when the measured SOC decrease rate exceeds the expected decrease rate by a predetermined threshold. This selective application masks only the harmful sudden drops while preserving accurate SOC information during normal operation, balancing operator confidence with actual energy availability.
3Stability of the object's composition
If SOC correction is applied to smooth transitions, then sudden shifts in reported SOC are reduced, but the complexity of the energy management system increases
Solution Approach 1:
The patent employs feedback mechanisms by continuously monitoring the SOC decrease rate and comparing it against the expected decrease rate. This feedback loop enables the system to automatically detect when sudden drops occur and apply appropriate SOC buffer adjustments, achieving stable SOC indications through a relatively simple feedback-based control strategy rather than complex algorithms.
Data Source
AI summary
A computer system is presented. The computer system comprises processing circuitry configured to obtain measured state of charge, SOC, data of an energy source of a vehicle and determine that a measured SOC decrease rate is above an expected SOC decrease rate by a predetermined SOC decrease rate threshold. The processing circuitry is further configured to determine an SOC difference based on the measured SOC data and the expected SOC decrease rate, and determine an SOC correction based on the SOC difference. The processing circuitry is further configured to reduce an SOC buffer of the energy source by the SOC correction, and provide filtered SOC data of the energy source by increasing the measured SOC data by the SOC correction.