Scooter Battery Pack Capacity Selection for Cost-Efficient Swapping
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Solution Overview
Problem
Scooter batteries often do not reach maximum usage before being recharged or swapped, leading to economically inefficient battery utilization.
Innovation Solution
A system and method for determining preferred battery capacities by analyzing scooter usage data, using a simulation model to calculate costs, and selecting the optimal number and capacity of battery packs to service a geographic area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If larger battery packs are used to extend scooter range, then the duration of action is improved, but the weight of the moving object increases
Solution Approach 1:
The battery system is divided into multiple interchangeable battery packs rather than using a single large battery. This allows the scooter to carry multiple smaller battery units that can be quickly swapped, achieving extended operational duration without permanently increasing the scooter's base weight, as not all battery packs are carried simultaneously.
Solution Approach 2:
The battery configuration is made dynamic and adaptable through the ability to swap battery packs based on usage needs. The system can adjust the number and capacity of battery packs carried according to specific trip requirements, rather than being fixed with a permanently heavy battery setup.
2Productivity
If multiple battery packs are deployed to service a geographic area, then the productivity is improved, but the cost increases
Solution Approach 1:
The system uses simulation models that incorporate real-world usage data to analyze and determine the optimal number and configuration of battery packs needed for a geographic area. This feedback-driven approach ensures that battery resources are allocated efficiently to meet productivity goals without unnecessary over-provisioning that would increase costs.
Solution Approach 2:
The system optimizes battery pack parameters such as capacity, voltage, and physical dimensions to achieve better energy density and utilization. By changing these parameters, the system can reduce the total number of battery packs required while maintaining or improving productivity, thereby reducing overall costs.
Data Source
AI summary
The disclosure generally pertains to systems and methods for determining preferred battery capacities. In an example method, a first set of data associated with scooter usage in a geographic area may be received. A first number of battery packs and a second number of battery packs for servicing the geographic area may be determined based at least on the first set of data, where the first number of battery packs has a first power capacity and the second number of battery packs has a second power capacity. A first cost associated with the first number of battery packs and a second cost associated with the second number of battery packs may be determined via a simulation model. The first cost may be determined to be lower than the second cost, and the first number of battery packs having the first power capacity may be selected to service the geographic area.