EV Pre-conditioning Prompt System
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Solution Overview
Problem
Existing systems for electric vehicles rely on operator foresight to initiate pre-conditioning, which may not accurately predict imminent usage, leading to inefficient battery performance and reduced battery life in cold temperatures.
Innovation Solution
A system that monitors the vehicle's location, operator's location, and historical driving patterns to automatically identify conditions indicating imminent usage and sends a prompt to the operator to pre-condition the vehicle, using GPS and personal device data to determine the need for pre-conditioning based on temperature and usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the operator manually initiates pre-conditioning using a key fob, then the batteries can be warmed before use, but the system requires operator foresight and may not accurately predict when usage is imminent
Solution Approach 1:
The system automatically monitors location, temperature, and driving patterns to self-determine when pre-conditioning is needed, eliminating the need for operator intervention while improving prediction accuracy through continuous data collection and analysis
Solution Approach 2:
The system uses feedback from GPS location data, temperature sensors, and historical driving patterns to continuously improve its prediction of imminent usage and automatically initiate pre-conditioning when conditions indicate it is needed
2Productivity
If pre-conditioning is initiated without accurate usage prediction, then battery warming may occur unnecessarily, but without pre-conditioning in cold temperatures, battery efficiency and power output decrease
Solution Approach 1:
The system performs preliminary warming of the battery only when location, temperature, and driving pattern data indicate that usage is imminent, ensuring battery efficiency is improved without unnecessary energy consumption from premature or unnecessary pre-conditioning cycles
3Reliability
If the system continuously monitors location and driving patterns to predict usage, then pre-conditioning can be accurately timed, but the system complexity increases
Solution Approach 1:
The system uses a multi-functional approach by leveraging existing GPS tracking infrastructure, temperature sensors, and driving pattern data that may already be collected for other vehicle operations, thereby improving prediction accuracy without proportionally increasing system complexity
Data Source
AI summary
A method of prompting an operator of an electric vehicle for pre-conditioning the electric vehicle comprises monitoring a location of the electric vehicle, monitoring the temperature of an electric propulsion system within the electric vehicle, accessing historical data of driving patterns for the electric vehicle, monitoring the location of the operator of the electric vehicle, identifying a condition that indicates imminent usage of the electric vehicle based on the location of the vehicle, the location of the operator of the electric vehicle, and the historical data of driving patterns for the electric vehicle, comparing the temperature of the electric propulsion system of the electric vehicle to a pre-determined preferred operating temperature, and sending a prompt to the operator of the electric vehicle suggesting that pre-conditioning of the electric vehicle may be appropriate.