Battery Pack Selection Control for Low-Speed EV Exchange Cycles
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Solution Overview
Problem
The degradation of secondary batteries in low-speed electric vehicles, such as golf carts, is influenced by State of Charge (SOC), temperature, and current rate, leading to inefficient battery usage and resource management in battery rental systems.
Innovation Solution
A monitoring device that communicates with storage devices to acquire user and battery information, predicts power consumption, and selects optimal battery combinations based on this data to efficiently manage power storage packs in electric vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If battery rental systems are implemented for electric vehicles, then user convenience is improved through easy battery exchange, but battery degradation accelerates due to frequent exchange cycles
Solution Approach 1:
The system performs preliminary actions by predicting power consumption before battery exchange and pre-selecting optimal battery combinations. The monitoring device acquires user information and state of charge data in advance, predicts required power consumption, and determines the best battery combination before the actual exchange occurs, thereby reducing unnecessary exchanges and slowing degradation
Solution Approach 2:
The system changes parameters by dynamically adjusting battery selection based on multiple variables including user information, state of charge, temperature, and predicted power consumption. By varying the selection criteria according to these parameters, the system optimizes each exchange to minimize degradation while meeting user needs
2Ease of operation
If frequent battery exchanges are performed to meet user needs, then user convenience is maintained, but resource utilization efficiency decreases due to accelerated battery degradation
Solution Approach 1:
The monitoring device performs preliminary prediction of power consumption and preliminary selection of optimal battery combinations before exchanges occur. This advance planning ensures that batteries are exchanged only when necessary and only with the minimum required capacity, thereby maintaining user convenience while reducing the total number of exchanges and improving resource utilization
Solution Approach 2:
The system enables self-service by automatically monitoring battery states, predicting power consumption, and selecting optimal combinations without manual intervention. This automated decision-making process optimizes resource utilization by ensuring each battery is used to its full potential before exchange, thereby improving overall system productivity
Data Source
AI summary
The life of a power storage pack to be mounted on an electric vehicle is prolonged while maintaining user convenience. A monitoring device (1) communicates with a storage device (4) storing power storage packs (2) to be mounted on a electric vehicle (3) traveling at a low speed in a predetermined area. An acquisition unit of the monitoring device (1) acquires parameter information including information of a user who uses the electric vehicle (3) and state information of the power storage packs stored in the storage device (4). A prediction unit of the monitoring device (1) predicts an amount of power consumption of the electric vehicle (3) used by the user, based on the acquired parameter information. A selecting unit of the monitoring device (1) selects a combination of power storage packs to be mounted on the electric vehicle among the power storage packs, based on the predicted amount of power consumption and the acquired state information on the power storage packs.