EV Battery Pack Sequencing by Health Status and Travel Context
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Solution Overview
Problem
There is no ideal method to maximize the life of batteries in an electric vehicle battery pack to provide the required power for a given travel context, leading to potential issues like getting stranded due to inadequate battery power.
Innovation Solution
A method for selecting an appropriate number and sequence of batteries from the battery pack based on their health status and power requirements, ensuring they receive adequate cooling time for each travel context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If all batteries in the battery pack are used to provide power, then the power availability is sufficient, but the battery life is reduced due to lack of cooling time
Solution Approach 1:
The battery pack is divided into multiple individual batteries that can be independently managed and selected. The system segments the battery pack into usable subsets, allowing certain batteries to be rested while others are used, thereby extending overall battery life while maintaining sufficient power availability.
Solution Approach 2:
The system implements periodic rotation of battery usage, where batteries are cycled between active and resting states. This periodic action ensures that individual batteries receive adequate cooling time while the vehicle maintains continuous power availability through the battery pack as a whole.
2Ease of operation
If a fixed sequence of battery usage is used, then the system is simple to operate, but it cannot adapt to varying travel contexts and battery health statuses
Solution Approach 1:
The battery selection sequence is made dynamic rather than fixed. The system continuously monitors battery health status and travel context, automatically adjusting the battery usage sequence in real-time. This dynamic adaptation allows the system to optimize for both simplicity and context-specific performance requirements.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor battery health status, temperature, and travel context. This feedback information is used to continuously adjust the battery selection sequence, ensuring the system adapts to varying conditions while maintaining automated operation that preserves ease of use.
3Device complexity
If batteries are selected without considering individual health status, then the selection process is simple, but the reliability of power delivery is compromised
Solution Approach 1:
The system performs preliminary assessment of each battery's health status, temperature, and charge level before selecting which batteries to use. This preliminary action ensures that only suitable batteries are selected for the current travel context, thereby maintaining high power delivery reliability while keeping the selection process automated and relatively simple.
Data Source
AI summary
A method for selecting a sequence of battery usage in EVs. The method includes identifying a health status of each battery in a battery pack, wherein the health status comprises power availability. The method further includes configuring usage of each battery individually, based on the identified health status of each battery in the battery pack, and estimating a power requirement for a context of travel, wherein the context of travel comprises at least one or more of the following: a selection of a route; road parameters; weather parameters; traffic conditions; and additional power required by a vehicle for various services to a user. The method further includes selecting a sequence of battery usage, for each battery in the battery pack, based on the estimated power requirement for traveling the route.