Parallel Battery Network Control Using Wear-Aware Relay Switching
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Solution Overview
Problem
Existing methods for managing storage batteries in electrically propelled vehicles focus on state of charge but neglect the level of wear, leading to shorter battery pack life and increased weight, which affects vehicle performance.
Innovation Solution
A method that acquires the level of wear for each storage battery and determines control setpoints using an artificial neural network, considering both state of charge and wear, along with temperature and vehicle configuration, to optimize battery usage and extend battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If the capacity of storage batteries is increased to improve vehicle range, then the maximum distance that can be covered is improved, but the weight carried by the vehicle increases
Solution Approach 1:
The battery system is divided into multiple independent storage batteries, each with its own relay for selective connection/disconnection. This segmentation allows the system to use only the necessary battery capacity for each trip, avoiding the need to carry excessive weight while still providing sufficient range when multiple batteries are connected in parallel.
2Duration of action of stationary object
If a plurality of elementary batteries is used to improve battery life, then the life of storage batteries is improved, but the complexity of managing multiple batteries increases
Solution Approach 1:
The control unit continuously monitors the state of charge (SOC) and cycle count of each battery, using this feedback information to make intelligent decisions about which batteries to connect or disconnect. This feedback mechanism automates the management complexity, allowing multiple batteries to be used effectively without requiring manual intervention or complex user decisions.
Solution Approach 2:
The system dynamically adjusts the configuration of battery connections based on real-time conditions such as SOC levels and cycle counts. Relays are controlled to connect or disconnect batteries as needed, allowing the system to adapt its configuration to optimize battery life while maintaining operational simplicity through automated control.
3Stability of the object's composition
If the state of charge is equalized across all battery packs to maintain consistent performance, then the power supply stability is improved, but the life of the battery packs decreases due to excessive cycling
Solution Approach 1:
Instead of treating all batteries uniformly, the system applies different management strategies to different batteries based on their individual characteristics. Batteries with lower cycle counts are preferentially used and protected from excessive cycling, while batteries with higher cycle counts can undergo more charge/discharge cycles. This localized quality approach allows the system to maintain power stability when needed while preserving overall battery fleet life.
Data Source
AI summary
A method manages a network of storage batteries for supplying electric current to an engine of an electrically propelled motor vehicle. The network includes a first storage battery and at least a second storage battery connected in parallel, each storage battery being connected to the rest of the network via a relay which enables the storage battery to be isolated from every other storage battery. The method includes acquiring a state of charge for each storage battery, determining, by a computer, a control setpoint for each relay based on the acquired states of charge, and controlling the relays based on each determined control setpoint. In the acquiring, the computer acquires a value of a first parameter relating to a level of wear of each storage battery. In the determining, each control setpoint is determined based on the value of the first parameter.