EV Battery Charge Planning for Minimum State of Charge
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Solution Overview
Problem
Electric vehicles face range anxiety due to slow charging times and scarce charging infrastructure, making it difficult for users to determine the minimum state of charge required for their vehicles to meet future driving needs, leading to unnecessary waiting and inefficient charging.
Innovation Solution
A method that determines a user's personalized routine energy needs by predicting the reduction in state of charge based on future driving requirements, providing an output indicating the minimum state of charge and charging time required to meet those needs, allowing users to select optimal charging options and avoid unnecessary charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle charges to full capacity, then the range anxiety is reduced, but the charging time increases significantly
Solution Approach 1:
The system performs preliminary analysis of user driving patterns, routine energy needs, and future driving requirements to predict the minimum state of charge needed in advance, allowing users to charge only to the necessary level rather than always charging to full capacity
Solution Approach 2:
The system continuously monitors and learns from actual user driving behavior, comparing predicted energy needs with actual consumption patterns, and uses this feedback to refine future predictions of minimum state of charge requirements
2Reliability
If the vehicle charges at every opportunity, then the state of charge is maintained, but unnecessary charging cycles reduce battery life
Solution Approach 1:
The system applies partial action by determining and charging only to the minimum necessary state of charge level required to meet future driving needs, rather than charging excessively to full capacity or charging at every opportunity
Solution Approach 2:
The system performs preliminary prediction of future driving energy requirements based on learned user patterns, allowing it to determine the precise minimum charge level needed in advance and avoid unnecessary charging cycles
3Reliability
If the user waits for full charging, then sufficient charge is guaranteed, but the waiting time exceeds the minimum required
Solution Approach 1:
The system performs preliminary analysis of user driving patterns and future requirements to predict the minimum state of charge needed in advance, providing users with accurate information about the sufficient charge level before charging begins
Solution Approach 2:
The system replaces the mechanical trial-and-error approach of charging to fixed levels with an intelligent prediction system that substitutes computational analysis of driving patterns to determine optimal charge levels
Data Source
AI summary
A method for determining a minimum state of charge for an energy storage means of a vehicle can include: determining a routine of use of charge of the energy storage means; determining a user requirement for future driving of the vehicle; predicting a reduction in the state of charge of the energy storage means associated with the user requirement in dependence on the determined routine; determining a minimum state of charge for the energy storage means for enabling the user requirement to be satisfied in dependence on the predicted reduction; and providing an output to the user indicative of a time requirement for increasing the state of charge of the energy storage means to a value at or above the minimum state of charge.