EV Charging Price Evaluation Using Battery Acceptance Rate
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Solution Overview
Problem
Electric vehicle charging stations have inconsistent pricing and charging services, leading to difficulties in determining the true cost and time required for charging, which can result in inefficient use of time and money due to varying factors such as battery state of charge, temperature, grid load, and power source.
Innovation Solution
A vehicle computing system that determines the current state of charge and battery temperature, predicts charge acceptance rates, and identifies nearby charging stations that meet predefined parameters for efficient charging, providing real-time pricing information and recommending optimal charging locations and types, with the ability to automatically terminate charging if efficiency falls below a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If charging at public charging stations, then power can be obtained when away from home, but the true cost and time required are difficult to determine due to inconsistent pricing and varying charging services
Solution Approach 1:
The system continuously monitors charging parameters including state of charge, battery temperature, and charge acceptance rate during the charging process. This real-time feedback enables the system to track actual charging efficiency and compare it against expected performance, providing drivers with accurate information about true charging costs and time requirements.
Solution Approach 2:
The vehicle's computing system acts as an intermediary between the driver and the charging station infrastructure. It processes charging data, evaluates charging station performance, and presents synthesized information to the driver, bridging the information gap caused by inconsistent charging station pricing and service quality.
2Ease of operation
If charging without monitoring charge acceptance rate, then charging process is simpler, but charging efficiency decreases leading to wasted time and money
Solution Approach 1:
The vehicle's computing system automatically monitors charging parameters and manages the charging process without requiring driver intervention. The system self-evaluates charge acceptance rate, state of charge, and battery temperature, then autonomously determines when to start or terminate charging, maintaining simplicity while optimizing efficiency.
Solution Approach 2:
The system continuously monitors charge acceptance rate and uses this feedback to dynamically adjust or terminate charging. By automatically tracking charging efficiency metrics and comparing them against thresholds, the system ensures optimal charging performance without adding operational complexity for the driver.
3Adaptability or versatility
If charging at stations with inconsistent services, then more charging options are available, but charging time and cost vary unpredictably
Solution Approach 1:
Before initiating charging, the system evaluates charging station characteristics and predicts charging performance based on current battery state. This preliminary assessment allows the driver to select stations with predictable charging times and costs, reducing variability while maintaining access to multiple charging options.
Solution Approach 2:
The system dynamically adjusts charging parameters such as power draw limits and termination thresholds based on real-time monitoring of charge acceptance rate and battery temperature. This adaptive parameter adjustment ensures consistent charging efficiency across different charging stations, reducing time variability while preserving station selection flexibility.
Data Source
AI summary
A vehicle determines a current state of charge of the vehicle and a current battery temperature of a battery of the vehicle. The vehicle, based on at least the state of charge and battery temperature, determines a charge acceptance rate for the battery and determines if the acceptance rate meets at least one predefined parameter for charging. The vehicle finds at least one charging station within a predefined proximity for which one or more known charge provision characteristics allow the at least one predefined parameter to be met, responsive to the acceptance rate meeting the at least one predefined parameter, and displays a location of the at least one charging station.