Mining Truck Battery Charge Control for Sustainable Trolley Operation
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Solution Overview
Problem
Trolley-assisted mining trucks face challenges in maintaining sustainable battery charge levels due to high energy consumption and varying external factors, leading to potential production halts and increased costs, especially when stationary charging is not feasible.
Innovation Solution
A system and method that include a detection unit for monitoring battery charge status and transport progress, a control unit that adapts operational parameters or schedules to ensure sustainable battery charging, such as adjusting velocity, charging power, or transport routes, to maintain continuous operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the mining truck operates continuously for 22 hours or more per day with heavy loads and steep inclines, then productivity is improved, but battery charge status deteriorates leading to unsustainable operation
Solution Approach 1:
The system continuously monitors battery charge status and transport progress, then adapts operational parameters in real-time. The control unit receives feedback from detection units about battery state and transport cycle progress, and automatically adjusts velocity, charging power, or route to maintain sustainable battery charge levels while maximizing productivity
Solution Approach 2:
The system dynamically adjusts operational parameters such as velocity, charging power, and transport routes based on real-time battery charge status and external conditions. This allows the mining truck to optimize energy consumption during different phases of operation, ensuring sustainable battery charge levels throughout continuous 22-hour work cycles
2Productivity
If the mining truck increases velocity or takes steeper routes to improve transport efficiency, then productivity is improved, but energy consumption increases leading to battery depletion
Solution Approach 1:
The system dynamically adjusts velocity and route selection based on real-time battery charge status and external conditions. When battery charge is sufficient, the truck can operate at higher velocities or take more direct routes. When charge levels drop, the system automatically reduces velocity or selects energy-efficient routes, creating an optimal balance between productivity and energy consumption throughout the transport cycle
3Use of energy by moving object
If the mining truck uses higher charging power to replenish battery faster, then battery charge status is improved, but the ability to meet operation schedule deteriorates
Solution Approach 1:
The system performs preliminary assessment of battery charge status and transport progress to determine optimal charging strategies. By predicting future battery states and scheduling charging activities in advance during appropriate phases of the transport cycle, the system ensures sufficient battery charge is achieved without causing delays to the overall operation schedule
Data Source
AI summary
A system and method for controlling the state of battery of a trolley assisted mining truck connectable to one or more trolley line(s), the trolley assisted mining truck carrying out an operation schedule including transport cycles. The system includes a battery charge status unit for determining battery charge status data indicative of the present charge status of the battery of the mining truck; a transport status unit for determining progress data of the progress of the mining truck in a present transport cycle; and a control unit for determining a schedule condition indicative of whether the operation schedule can be met and maintained. The control unit is configured to adapt, in case of the schedule condition being determined to be not satisfactory, at least one operational parameter and/or the operation schedule of the mining truck for obtaining a sustainable state of battery charge.


