EV Rescue Vehicle Matching With Charging Cost-Based Rewards
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Solution Overview
Problem
Existing systems for resolving malfunctions in electric vehicles do not adequately consider the varying charging costs, leading to potential financial losses for rescuers and reduced willingness to provide assistance.
Innovation Solution
An information processing system that calculates and presents rewards based on charging cost information for potential rescue vehicles, identifying suitable rescuers and notifying them of rescue requests, thereby ensuring fair compensation and incentivizing assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If rescue requests are made without considering charging costs, then rescue operations can proceed quickly, but rescuers incur financial losses
Solution Approach 1:
The system changes the parameter of reward calculation by incorporating charging cost information. The server apparatus obtains charging cost information for each vehicle and calculates rewards based on both the rescue task requirements and the charging costs, transforming the reward parameter from a fixed amount to a dynamic value that compensates for actual expenses.
Solution Approach 2:
The system implements feedback by presenting calculated reward information to users of malfunctioning vehicles and allowing them to select rescue vehicles based on this information. The reward calculation feedback loop ensures that rescuers are compensated appropriately for their charging costs, creating a balanced system where rescue operations are both economically viable and efficiently matched with suitable vehicles.
2Reliability
If charging cost information is collected and processed, then fair compensation is achieved, but system complexity increases
Solution Approach 1:
The server apparatus acts as an intermediary that centralizes the collection, processing, and distribution of charging cost information. Instead of having individual vehicles or users handle complex cost calculations, the server apparatus mediates by obtaining charging cost information from multiple sources, calculating appropriate rewards, and presenting this information to users, thereby simplifying the overall system architecture while ensuring fair compensation.
3Reliability
If potential rescue vehicles are selected based on battery levels and rescue content, then suitable rescuers are identified, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-obtaining and storing charging cost information for vehicles before rescue requests are made. The server apparatus maintains updated information about each vehicle's battery level, charging costs, and other relevant parameters, so that when a rescue request is received, the system can quickly filter and identify suitable rescue vehicles without having to gather this information from scratch during the emergency situation.
Data Source
AI summary
An information processing apparatus includes a processor(s), and a storage medium on which a program executed by the processor(s) is stored. The program includes an instruction(s) causing the processor(s) to execute: obtaining charging cost information sets pertaining to charging on-board batteries of vehicles; receiving a rescue request from a malfunctioning vehicle in which a malfunction has occurred; extracting, based on rescue content pertaining to resolving the malfunction and battery levels of the on-board batteries of the vehicles, a vehicle(s) capable of resolving the malfunction as a potential rescue vehicle(s); calculating a reward based on the rescue content and the charging cost information set(s) for each potential rescue vehicle; presenting each potential rescue vehicle and the reward to a user of the malfunctioning vehicle; identifying a vehicle selected by the user of the malfunctioning vehicle as a rescue vehicle; and notifying a user of the rescue vehicle of a rescue request.