Adaptive Battery Threshold Control for EV SoX Management
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Solution Overview
Problem
Existing battery management systems in electric vehicles fail to dynamically adapt to varying driving conditions, battery states, and environmental factors, leading to inefficient energy use and reduced battery lifespan.
Innovation Solution
A vehicle control system with an adaptive battery threshold window that adjusts based on real-time operational schedules and battery parameters, using machine learning to personalize battery management strategies for individual drivers, ensuring optimal energy use and extended battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing fixed threshold algorithms are used for battery management, then the system structure is simple, but the system cannot adapt to varying driving conditions and battery states
Solution Approach 1:
The patent implements dynamic threshold values that automatically adjust based on real-time driving conditions, battery state of charge, temperature, and state of health. Instead of fixed thresholds, the system continuously adapts the charge and discharge thresholds to match current operational parameters, enabling the battery management system to respond optimally to varying conditions without requiring complex manual reconfiguration
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor driving patterns, battery performance, and environmental conditions. This feedback is used to update and refine threshold values in real-time, allowing the system to learn from past operations and adapt to changing conditions. The feedback loop enables automatic adjustment of battery management parameters based on actual system performance and external factors
2Power
If aggressive battery discharge is allowed to maximize power output, then vehicle performance is improved, but battery lifespan is reduced
Solution Approach 1:
The patent dynamically changes operational parameters including charge and discharge thresholds, current limits, and voltage cutoffs based on battery state of health, temperature, and remaining capacity. When battery health deteriorates or temperature extremes are detected, the system automatically adjusts parameters to reduce stress on the battery while maintaining acceptable performance levels, thereby extending battery lifespan without completely sacrificing power output capability
3Use of energy by moving object
If battery thresholds are lowered to extend driving range, then energy efficiency is improved, but battery state of charge reserves are depleted
Solution Approach 1:
The system dynamically adjusts the usable battery capacity threshold based on predicted driving needs, environmental conditions, and battery state. Instead of using a fixed low threshold that depletes the battery, the system optimizes the discharge threshold in real-time to maximize energy utilization while maintaining sufficient charge reserves. This dynamic adjustment allows the system to extract maximum energy efficiency during favorable conditions while preserving adequate reserves when needed
Data Source
AI summary
The present disclosure relates to a vehicle control system and method for SoX management. The vehicle control system comprises a control circuitry and a battery management system. The control circuitry determines an operational schedule of the vehicle and monitors at least one parameter of battery state. The battery management unit is communicatively coupled to the control circuitry. The battery management unit defines and implements an adaptive battery threshold window based on an operational schedule of the vehicle and the at least one parameter of battery state. The adaptative battery threshold window comprises multiple soft threshold values.