Battery Charging Profile Optimization Under Thermal Limits
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Solution Overview
Problem
Charging vehicle batteries in electric commercial vehicles within short break times requires maximizing energy storage while minimizing battery degradation and temperature stress, which conventional methods fail to address effectively.
Innovation Solution
A method and device optimize the charging profile by using a thermal battery model to simulate and generate a variable charging current curve that maximizes energy storage within specified temperature limits, employing combinatorial optimization methods like genetic algorithms to minimize degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fast charging with high charging currents is used to maximize energy storage within short break times, then charging speed and energy storage are improved, but battery temperature increases and degradation accelerates
Solution Approach 1:
The charging current is dynamically adjusted throughout the charging process rather than maintained at a constant high level. The method applies phase-based current modulation where higher currents are used initially to rapidly charge the battery, then progressively reduces current as the battery approaches full charge or temperature limits are approached, optimizing both charging speed and thermal management
Solution Approach 2:
The charging process is divided into distinct phases with different current characteristics. The method employs periodic modulation of charging current with varying frequencies and amplitudes, switching between different current profiles based on battery state and temperature conditions to balance charging efficiency and thermal control
2Productivity
If fast charging with high charging currents is used to maximize energy storage within short break times, then charging speed is improved, but battery degradation increases
Solution Approach 1:
The charging current profile is dynamically optimized based on real-time battery state assessment. The method adjusts current magnitude and duration to minimize degradation mechanisms while achieving maximum charge transfer, using adaptive control to balance charging speed with battery health preservation
Solution Approach 2:
The method optimizes multiple charging parameters simultaneously including current magnitude, pulse duration, rest intervals, and temperature thresholds. By dynamically changing these parameters based on battery state, the system achieves fast charging while controlling degradation through optimized electrochemical stress management
3Object-affected harmful factors
If charging current is reduced to control battery temperature, then temperature stress is minimized, but charging energy storage within break time decreases
Solution Approach 1:
The method applies higher charging currents during early phases when the battery has greater capacity to absorb energy and lower thermal mass. By performing the most intensive charging activity when conditions are most favorable, the system maximizes energy storage while preventing excessive temperature buildup that would require prolonged current reduction
4Reliability
If conventional charging profiles are used for electric commercial vehicles, then gentle charging is achieved, but maximum energy storage within short break times cannot be accomplished
Solution Approach 1:
The invention replaces static conventional charging profiles with dynamic, adaptive current profiles that respond to real-time battery conditions. The system continuously adjusts charging parameters to optimize the balance between battery stress and charging speed, enabling aggressive charging when conditions permit while maintaining gentler profiles when thermal or degradation constraints are approached
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The optimized charging profile effectively stores maximum energy in the battery within the break time without exceeding temperature limits, reducing degradation and ensuring safe operation.
Implementation Method 1
a very high charge quantity is stored in the battery within a short time, but the high temperatures produced during the charging process require cooling
Data Source
AI summary
A computer-implemented method for providing an optimized charging profile for a charging process of a vehicle battery of an electric commercial vehicle with a known start time of the charging process and a known charging period. The method includes: providing a starting state of charge at the start of a charging process, a starting battery temperature, and the predetermined charging period; performing an optimization method for ascertaining an optimized charging current curve, wherein the optimization maximizes a charge quantity storable in the vehicle battery within the charging period and satisfies at least one temperature criterion based on a simulated battery temperature curve, wherein the battery temperature curve is simulated using a specified thermal battery model depending on the starting state of charge, the starting battery temperature, and the charging current curve; providing the optimized charging current curve as an optimized charging profile for performing the charging process.