Vehicle Energy Range Indicator Using Remote Operating Data
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Solution Overview
Problem
Existing vehicle energy range indicators often overestimate or underestimate the remaining energy, leading to unexpected depletion, as they do not consider operating conditions of similarly situated vehicles at forthcoming locations.
Innovation Solution
A system that uses sensor data from a host vehicle and remote sources to determine the remaining energy range by incorporating anticipated operating conditions based on data from vehicles with the same type and location, providing more accurate estimates through communication networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the remaining energy range is calculated based only on the remaining amount of energy stored in the energy storage system, then the calculation is simple, but the remaining energy range may be overestimated or underestimated
Solution Approach 1:
The system collects operating condition data from multiple remote vehicles and uses this feedback information to adjust and refine the remaining energy range calculation. The processor compares the host vehicle's operating conditions with those of remote vehicles at similar locations and adjusts the energy range estimate accordingly, improving accuracy without excessive complexity.
Solution Approach 2:
The patent introduces remote vehicles as intermediary reference points. These remote vehicles provide operating condition data that acts as a mediator between the host vehicle's energy storage system and the remaining energy range calculation, enabling more accurate predictions by comparing with real-world data from similar vehicles at similar locations.
2Measurement precision
If the system incorporates operating conditions from multiple remote vehicles to determine remaining energy range, then the accuracy improves, but the system complexity increases
Solution Approach 1:
The system uses a universal approach by collecting operating condition data from multiple remote vehicles of the same type. This multi-functional data collection enables the system to handle various scenarios (different locations, conditions, vehicle states) using a single framework, improving accuracy while managing complexity through standardized processing.
Solution Approach 2:
The system leverages data from other vehicles in the fleet to improve the host vehicle's energy range calculation. Each vehicle in the network contributes to the collective knowledge base, and the host vehicle benefits from this self-service mechanism without requiring complex external infrastructure, as the remote vehicles themselves provide the reference data.
Data Source
AI summary
Systems and methods for determining and indicating an energy range of a host vehicle. A sensor can be positioned to acquire data corresponding to an amount of energy stored in an energy storage system of the host vehicle. An anticipated operating condition for a forthcoming location of the host vehicle can be determined based on at least one operating condition provided from at least one of a plurality of vehicles that 1) has a vehicle type that is the same as a vehicle type of the host vehicle and 2) is located at a respective location that is proximate to the forthcoming location of the host vehicle. The remaining energy range can be determined based on 1) the amount of energy stored in the energy storage system and 2) the anticipated operating condition, and an output system of the host vehicle can indicate the remaining energy range for the host vehicle.