Autonomous EV Battery Assistance Routing for Failure Response
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies fail to effectively monitor and manage the impact of driving behavior and environmental factors on electric vehicle (EV) batteries, and provide inadequate assistance when battery malfunctions occur, leading to inefficient and inconvenient solutions.
Innovation Solution
A system and method utilizing telematics data to monitor EV battery health, predict potential impacts, and route EVs to reduce strain on the battery, as well as dispatch assistance vehicles when needed, leveraging a pre-existing telematics application or a native mobile application to detect battery failure events and generate routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional routing methods are used for EVs, then route availability and simplicity are improved, but battery health impact increases due to unmonitored driving behavior and environmental factors
Solution Approach 1:
The system continuously monitors battery status, driving behavior, and environmental factors, then uses this feedback to dynamically adjust routing recommendations. The server receives telematics data from the EV, analyzes battery health parameters, and provides updated route suggestions that optimize for both battery preservation and delivery efficiency.
Solution Approach 2:
The system enables autonomous vehicles to self-monitor their battery status and self-adjust their routing decisions. The EV's onboard systems work with the server to automatically select routes that minimize battery strain without requiring manual intervention from operators or drivers.
2Reliability
If battery monitoring and intelligent routing systems are implemented, then battery health management is improved, but system complexity increases
Solution Approach 1:
The server performs multiple functions including routing optimization, battery status monitoring, failure prediction, and assistance coordination through a single integrated platform. The autonomous vehicles also serve dual purposes as both delivery vehicles and potential assistance providers to other EVs in need.
Solution Approach 2:
The server acts as an intermediary between the EVs and the assistance coordination system. It receives telematics data from vehicles, processes battery health information, and coordinates assistance requests without requiring direct complex interactions between individual vehicles.
3Reliability
If assistance coordination for battery failures is implemented, then response effectiveness to battery failures is improved, but response time and resource allocation complexity increase
Solution Approach 1:
The system pre-identifies and pre-routes nearby autonomous vehicles that could potentially provide assistance to EVs experiencing battery failures. By having assistance vehicles pre-positioned and ready based on their locations and capabilities, the system reduces response time when failures occur.
Solution Approach 2:
The system replaces manual coordination and physical assessment of battery failure situations with automated electronic monitoring and digital routing. The server automatically detects battery failures through telematics data analysis and electronically coordinates assistance, eliminating the need for manual intervention and physical inspection before initiating help.
Data Source
AI summary
A computer-implemented method of monitoring one or more batteries of an electric vehicle (EV) includes (i) detecting an indication of a battery failure event for an electric vehicle; (ii) determining a response to the battery failure event based upon the indication; (iii) determining, based upon the battery failure event, an assistance location for the electric vehicle; (iv) generating a route from a location of an autonomous vehicle to the assistance location for the electric vehicle; and (v) transmitting a command to the autonomous vehicle to drive to the assistance location for the electric vehicle, wherein the command includes the response to the battery failure event and the route from the location of the autonomous vehicle to the assistance location.