EV Power-Line Communication for Insurance Risk Data Transfer
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Solution Overview
Problem
Insurance providers lack accurate data on driving behavior and vehicle condition of policy holders, leading to inaccurate insurance ratings and premiums, as conventional methods struggle to assess risky driving behaviors in electric vehicles.
Innovation Solution
A system that enables electric vehicles to communicate insurance risk-related data over an electrical grid when charging, using power-line communication, collecting data from onboard sensors and subsystems, and transmitting it to insurers for precise policy adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional communication methods (wireless networks, cellular networks) are used to transmit insurance risk data from electric vehicles, then data can be transmitted continuously, but the system complexity increases and additional hardware components are required
Solution Approach 1:
The existing electrical grid connection, originally designed solely for charging the vehicle battery, is made multi-functional by enabling it to also serve as a communication channel for transmitting insurance risk data. The power line communication unit utilizes the same physical infrastructure (electrical grid) for both power delivery and data transmission, eliminating the need for separate communication hardware and reducing system complexity.
2Measurement precision
If wireless communication units and data plans are installed in electric vehicles, then continuous monitoring of driving behavior is possible, but the cost and device complexity increase
Solution Approach 1:
The electrical grid infrastructure, which already exists and is regularly connected to the vehicle for charging purposes, is leveraged to provide the communication function. The system uses existing infrastructure (power lines, charging equipment) to transmit data without requiring the vehicle to maintain separate communication subscriptions or hardware, making the system more self-sufficient and cost-effective.
3Ease of manufacture
If insurance providers rely on limited information from driving records and questionnaires, then policy holder acquisition is simpler, but insurance risk assessment accuracy deteriorates
Solution Approach 1:
The system implements continuous feedback by automatically collecting actual driving behavior data through sensors (monitoring acceleration, braking, steering patterns) and transmitting it via the power line communication unit whenever the vehicle is charging. This real-world behavioral data provides insurance providers with accurate, objective information about policy holder driving habits, enabling precise risk assessment while maintaining simple policy setup procedures.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables insurers to accurately assess risk, allowing for more reflective insurance premiums and ratings, reducing the need for wireless connections and data plans, and providing regular data updates.
Implementation Method 1
transmitting the insurance risk related data with a power-line communication unit over the electrical grid from the electric vehicle to one or more remote computer systems
Data Source
AI summary
Methods and systems for communicating data with an electric vehicle are disclosed. According to some aspects, insurance risk related data associated with use of the electric vehicle may be collected and stored in one or more memories included in the electric vehicle. When the electric vehicle is connected to an electrical grid for charging a battery included in the electric vehicle, in some implementations, a power-line communication unit may transmit the insurance risk related data over the electrical grid to one or more remote computer systems. The insurance risk related data may be used by an insurer to calculate insurance rating data so that an insurance premium (or rate, discount, usage-based insurance, etc.) associated with the electric vehicle and/or its driver can be adjusted to more accurately reflect a risk of recognizable loss. The insurance risk data may be related to driving or driving behavior, and/or vehicle operation.