EV Battery Charging Control for Shift Energy and Service Life
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Solution Overview
Problem
Existing charging systems for electric vehicles, particularly heavy-duty vehicles like electric wheel loaders, fail to optimally distribute charging infrastructure, account for varying energy requirements, and adapt to environmental conditions, leading to improper charging that affects battery health and lifespan.
Innovation Solution
A method for controlling the charging cycle of an energy storage system in electric vehicles, involving determining current and usage states of charge, storage state of charge, and charging cycle duration to optimize charging based on environmental and usage parameters, using algorithms to predict energy needs and minimize wear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the battery is charged to maximum capacity to ensure sufficient energy for the next shift, then the energy availability for operation is improved, but the battery service life is reduced due to increased wear
Solution Approach 1:
The system charges the battery to only the necessary level (partial action) required for the next shift's energy requirements rather than charging to maximum capacity. This prevents excessive charging that would accelerate battery degradation while still providing sufficient energy for operational needs.
Solution Approach 2:
The system dynamically adjusts the charging target state of charge based on actual energy consumption patterns, environmental conditions, and shift requirements. By changing the charging parameter (target SOC) rather than always charging to maximum, the system optimizes both energy availability and battery longevity.
2Use of energy by moving object
If charging is performed frequently to maintain high state of charge for operational readiness, then the energy availability is improved, but the battery undergoes more charge-discharge cycles reducing its lifespan
Solution Approach 1:
The system performs preliminary assessment of energy requirements before charging begins, calculating the exact charge needed based on predicted usage. This prevents unnecessary charging cycles by only charging when and to the extent that energy is actually required, thereby extending battery life while maintaining operational readiness.
Solution Approach 2:
The system continuously monitors battery state of charge, energy consumption patterns, and operational requirements to dynamically adjust charging strategies. This feedback mechanism ensures charging occurs only when necessary and at optimal levels, reducing unnecessary charge-discharge cycles that degrade battery reliability.
3Reliability
If the charging system accounts for environmental conditions and usage patterns to optimize charging, then the battery health is improved, but the system complexity increases
Solution Approach 1:
The system automatically monitors environmental conditions, tracks usage patterns, and independently determines optimal charging parameters without requiring external intervention or complex user input. This self-service approach improves battery health through adaptive charging while minimizing the complexity burden on users and operators.
Solution Approach 2:
The control system integrates multiple functions including environmental sensing, usage pattern analysis, energy requirement calculation, and charging control into a single multi-functional unit. This consolidation improves battery health through comprehensive monitoring while managing system complexity by combining rather than multiplying separate components.
Data Source
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AI summary
A method (1000) for controlling a charging cycle of an energy storage system (2) of an electric vehicle (1), in particular an electric compact wheel loader, in a storage mode, the method comprising following steps: determining (1010) a current state of charge value representing a current state of charge of the energy storage system during the charging cycle, wherein the current state of charge value is initially determined at a starting time of the charging cycle, wherein the charging cycle is run between a first usage cycle and a second usage cycle of the energy storage system of the vehicle, wherein the second usage cycle is subsequent to the first usage cycle; determining (1020) a usage state of charge value representing a usage state of charge of the energy storage system at an ending time of the charging cycle, which is required for operating the electric vehicle during the second usage cycle in an operation mode; determining (1030) a storage state of charge value representing a storage state of charge of the energy storage system to be reached and maintained during the charging cycle, wherein the determined usage state of charge value is larger than the determined storage state of charge value; determining (1040) a charging cycle duration value representing a duration of the charging cycle, determining (1050) a storage charging control function for controlling the charging of the energy storage system during the charging cycle in the storage mode depending on the determined current state of charge value, the determined usage state of charge value, the determined storage state of charge value, and the determined charging-cycle-duration-value , wherein an output of the storage charging control function is a storage charging control value provided as a control signal for controlling the charging of the energy storage system during the charging cycle.