Battery Charging Management for Fleet Utilization and Lifespan
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Solution Overview
Problem
Existing methods for managing battery charge in autonomous devices, such as electric vehicles and portable tools, fail to optimize battery lifespan and utilization rate, especially when charging multiple devices simultaneously, as they do not account for varying usage patterns and storage conditions effectively.
Innovation Solution
A method and system for managing the battery charge of multiple devices that predicts and adjusts charging based on usage patterns, seasonality, and weather forecasts, optimizing charging modes to minimize aging by using reserve batteries and prioritizing slow charging, while also allowing for dynamic assignment of batteries to meet demand and extend lifespan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If rapid charging is used to increase charging speed, then charging time is reduced, but battery lifespan deteriorates due to accelerated aging
Solution Approach 1:
The charging management system dynamically adjusts charging parameters (current, voltage, temperature) in real-time based on battery state and environmental conditions. The system transitions between different charging modes (slow charging, fast charging, ultra-fast charging) depending on the situation, making the charging process adaptive rather than static to balance speed and battery health
Solution Approach 2:
The system changes multiple charging parameters simultaneously (charging current, voltage, temperature control) to optimize both charging speed and battery lifespan. By adjusting these parameters based on battery state of charge, temperature, and age, the system can switch between slow and fast charging modes to resolve the contradiction between charging speed and battery durability
2Device complexity
If a single device charging method is used, then system complexity is reduced, but optimization capability deteriorates for fleets of devices
Solution Approach 1:
The charging management system is designed with multi-functionality to handle both individual device charging and fleet-wide optimization. The same system can manage single devices with personalized charging profiles or coordinate multiple devices to provide grid services, making it universally applicable across different operational scales and modes
3Duration of action of moving object
If batteries are used individually to power autonomous devices, then device autonomy is ensured, but overall utilization rate decreases
Solution Approach 1:
The system merges multiple battery resources into a coordinated fleet management approach. By pooling batteries across multiple devices and managing them collectively, the system enables both individual device autonomy (when needed) and fleet-wide optimization (for grid services or load balancing), thereby increasing overall utilization while maintaining device autonomy capability
Data Source
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Figure 3
AI summary
According to a method for managing the charging of batteries (10) of a plurality of devices (11), ▷ the use of at least one device (1) is planned by receiving or estimating at least one reservation for a type of device and for a usage need, ▷ a battery is assigned to each reservation during a first allocation phase, verifying that the battery (10) thus reserved is capable of satisfying the usage need, taking into account its initial state of charge, ▷ a charging objective is established accordingly for each battery, ▷ the charging of each battery is controlled according to the objective.