Battery Capacity Estimation Using Charge Power Without Battery Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing battery management systems struggle to accurately estimate battery capacity in storage batteries, especially when direct information from the battery is unavailable, which hinders efficient charging and discharging processes, particularly in electric vehicles.
Innovation Solution
A battery capacity estimation device that acquires charge and discharge characteristic information, such as charge current, voltage, and power, to estimate battery capacity through predetermined output power values and mode determination, allowing for charge and discharge schedule generation even without direct battery information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If battery capacity information is acquired directly from the storage battery side, then measurement precision is improved, but reliability deteriorates when the battery cannot provide this information
Solution Approach 1:
The patent introduces an intermediary estimation method that uses measurable parameters (charge/discharge current, voltage, time) as mediators to infer battery capacity indirectly. When direct battery information is unavailable, the system uses these intermediary measurements combined with characteristic information to estimate capacity, ensuring continuous operation without direct battery communication.
Solution Approach 2:
The patent creates a virtual model or copy of battery capacity estimation based on observable charging behavior. Instead of relying on the actual battery's internal data, the system generates an estimated capacity value through calculation models that replicate what the battery capacity would be based on external measurements, effectively creating a software-based copy of the capacity information.
2Productivity
If charge control is performed according to a charge schedule, then productivity is improved, but device complexity increases due to information acquisition requirements
Solution Approach 1:
The patent extracts only the essential information needed for charge scheduling from the battery system - specifically charge characteristic information that correlates with battery capacity. Instead of acquiring complete battery state information, the system extracts and utilizes only the critical charge/discharge patterns, current, voltage, and time data necessary for effective scheduling, reducing information acquisition complexity.
Solution Approach 2:
The patent transforms the approach from acquiring direct battery capacity parameters to measuring and utilizing charge process parameters (current, voltage, time, power). By changing the measured parameters from internal battery state to external charging process variables, the system achieves charge scheduling capability without complex direct battery information acquisition systems.
3Loss of time
If charge speed is increased to reduce idle time, then loss of time is reduced, but object-generated harmful factors increase due to battery degradation
Solution Approach 1:
The patent implements dynamic charge scheduling that adjusts charging speed based on real-time battery capacity estimation and state. The charge speed is not fixed but dynamically optimized according to the estimated battery characteristics, allowing faster charging when the battery can tolerate it and slower charging when degradation risks are higher, thus balancing time loss and battery protection.
Solution Approach 2:
The patent incorporates feedback mechanisms where the estimated battery capacity and state information continuously inform the charge schedule adjustments. The system monitors charging progress and battery response, using this feedback to optimize subsequent charging rates, ensuring that high-speed charging is applied only when beneficial and slowing down when degradation risks increase, thereby reducing overall idle time while protecting the battery.
Data Source
AI summary
The battery capacity of a storage battery is estimated without acquiring information on the battery capacity from the storage battery side. A battery capacity estimation device that estimates the battery capacity of a storage battery, the battery capacity estimation device including: a characteristic information acquisition unit configured to acquire the charge characteristic information of the storage battery in which at least one of a charge current, a charge voltage, or a charge power for charging the storage battery is associated with the battery capacity; and a capacity estimation unit configured to perform an estimation process of outputting power of a first output power value to the storage battery over a predetermined time necessary for estimating the battery capacity to perform first charging and estimating the battery capacity on the basis of at least the first output power value.


