Eco-Friendly Delivery Vehicle SOC Control for Parcel Loading States
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Solution Overview
Problem
There is a need for vehicle control technology specific to eco-friendly home delivery vehicles, particularly for distinguishing loading and unloading situations and securing battery State Of Charge (SOC) efficiently, especially in low-speed or stopping conditions, and for charging unmanned delivery robots effectively.
Innovation Solution
A method and system that utilize sensors and barcode scanning to determine loading/unloading based on weight and location information, calculate required SOC, and control battery charging to ensure optimal battery levels for both the vehicle and delivery robots, using Vehicle-to-Load (V2L) technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If home delivery vehicles operate in low-speed or stopping conditions frequently, then delivery service coverage is improved, but battery energy consumption increases
Solution Approach 1:
The system performs preliminary SOC assessment before delivery operations begin. The controller calculates required SOC based on predicted delivery routes, parcel weights, and stopping patterns, then ensures the battery is charged to adequate levels before the vehicle enters delivery zones with frequent low-speed operation, preventing energy depletion during critical delivery periods
Solution Approach 2:
The system continuously monitors actual SOC levels during delivery operations and compares them against predicted consumption patterns. When deviations are detected or SOC thresholds are approached, the system provides feedback to trigger charging operations, enabling dynamic energy management that adapts to actual delivery conditions rather than relying solely on pre-calculated estimates
2Productivity
If the vehicle carries more parcels for efficient delivery, then productivity is improved, but battery weight and energy consumption increase
Solution Approach 1:
The system segments the delivery route into multiple zones and divides parcel deliveries across different segments. By analyzing SOC levels at each segment boundary, the controller can determine optimal points to offload parcels and recharge, allowing the vehicle to maintain high productivity across the overall route while managing energy consumption through spatial segmentation of the delivery task
Solution Approach 2:
The system calculates the minimum necessary SOC required to complete upcoming delivery segments and charges the battery to that specific threshold rather than maintaining continuously high charge levels. This partial charging approach provides sufficient energy for productive delivery operations without the excessive energy weight of always maintaining full battery charge
3Ease of operation
If the vehicle stops frequently for parcel delivery, then service quality is improved, but battery charging opportunities are reduced
Solution Approach 1:
The system identifies upcoming delivery stops in advance using navigation and route information, then proactively manages battery charging before the vehicle enters service zones where frequent stopping would occur. By ensuring adequate SOC is secured beforehand, the vehicle can perform quality delivery services without needing to interrupt operations for charging during critical service periods
4Adaptability or versatility
If the vehicle battery SOC is not adequately managed before entering delivery zones, then operational flexibility is maintained, but delivery service reliability decreases
Solution Approach 1:
The system continuously monitors actual SOC levels during delivery operations and compares them against predicted consumption patterns. When deviations are detected or SOC thresholds are approached, the system provides feedback to trigger charging operations, enabling dynamic energy management that adapts to actual delivery conditions rather than relying solely on pre-calculated estimates
Data Source
AI summary
A method for controlling a vehicle based on vehicle state information and parcel information of an eco-friendly vehicle includes obtaining information about the vehicle or parcels from an external device or at least one sensor. The method further includes determining loading or unloading of the parcels based on the information about the vehicle or the parcels. The method further includes determining a required State Of Charge (SOC) of a battery of the vehicle based on the loading or the unloading of the parcels and the information about the vehicle or the parcels. The method further includes controlling the battery of the vehicle based on the required SOC of the battery of the vehicle or providing a driver with information about the required SOC of the battery of the vehicle.


