EV Operation Planning for Battery-Aware Task Reassignment
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Solution Overview
Problem
Existing EV operation management systems fail to account for unexpected events, leading to increased power consumption, potential battery depletion, and frequent battery replacements, thereby escalating the life cycle cost of electric vehicles.
Innovation Solution
An operation management system that includes an operation planning section and monitoring section to create and adjust EV operation plans, reallocating tasks among vehicles based on battery levels to ensure completion without accelerating battery degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fast charging is performed when the EV runs out of power due to unexpected events, then the EV can complete its operation plan, but battery performance degrades and life cycle cost increases
Solution Approach 1:
The system performs preliminary actions by creating multiple candidate operation plans before unexpected events occur. When an unexpected event happens, the system can switch to a pre-prepared alternative plan that avoids fast charging, thus preventing battery degradation while ensuring operation completion.
Solution Approach 2:
The system dynamically adjusts the operation plan based on real-time battery status and unexpected events. By having multiple candidate plans and switching between them dynamically, the system ensures operation completion without subjecting the battery to harmful fast charging conditions.
2Reliability
If frequent battery replacements are performed to maintain EV operation, then vehicle reliability is maintained, but life cycle cost increases
Solution Approach 1:
The system creates multiple candidate operation plans in advance that account for various unexpected scenarios. This preliminary planning ensures that the EV can complete its operations without running out of power, thereby preventing the need for frequent battery replacements and reducing life cycle costs.
3Device complexity
If the operation plan does not account for unexpected events, then planning complexity is reduced, but power consumption increases and operation completion is hindered
Solution Approach 1:
The system performs preliminary actions by creating multiple candidate operation plans that anticipate unexpected events. This advance planning allows the system to handle unexpected events without increasing actual operational complexity, as the alternative plans are already prepared and can be executed immediately when needed.
Data Source
AI summary
Provided is an operation management system that reduces an increase in the life cycle cost of an EV that is caused by degradation of battery performance. To this end, an operation management system 1 for managing the operations of a plurality of EVs 3 powered by a battery includes an operation planning section 11 and an operation plan monitoring section 12. The operation planning section 11 creates an operation plan for causing each EV 3 to perform the work of traveling between locations. The operation plan monitoring section 12 monitors the operation of each EV 3 that is performed in accordance with the operation plan. According to the operating status of each EV 3, the operation plan monitoring section 12 determines whether each EV 3 is able to complete the operation plan. The operation planning section 11 re-creates the operation plan in such a manner that remaining work of traveling between locations which has not been performed by an EV 3 that is determined by the operation plan monitoring section 12 to be unable to complete the operation plan is reassigned to another EV 3 according to the remaining battery level of each EV 3.