Off-Road Vehicle Charging Control for Regenerative Braking Reserve
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Solution Overview
Problem
Electric off-road vehicles face over-charging issues due to limited energy storage capacity, which can lead to safety risks when absorbing large regenerative braking energy after passing through long downhill sections.
Innovation Solution
An electric off-road vehicle charging control method that acquires power-condition data to determine a charging mode, either normal or reserving margin capacity, and controls the energy storage system to stop charging when fully charged to prevent over-charging, ensuring sufficient capacity for regenerative braking energy absorption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the vehicle-mounted energy storage system charges to full capacity, then the energy storage capacity is maximized, but the system cannot absorb large regenerative braking energy after long downhill sections, leading to over-charging and safety risks
Solution Approach 1:
The system performs preliminary assessment of power conditions by calculating cumulative power condition data before charging occurs. It evaluates historical power condition data to predict whether the energy storage system will need to absorb regenerative braking energy soon, and adjusts charging strategy in advance to prevent over-charging situations
Solution Approach 2:
The system continuously monitors and calculates feedback from power condition data, comparing cumulative power condition data against thresholds to dynamically adjust charging control decisions. This closed-loop feedback mechanism ensures the system responds to actual power needs and prevents over-charging while maximizing energy storage
2Use of energy by moving object
If the energy storage system absorbs large regenerative braking energy, then energy recovery is improved, but the system may become over-charged, causing safety problems
Solution Approach 1:
The system calculates cumulative power condition data in advance to predict future regenerative braking energy needs. By assessing historical power condition patterns before charging occurs, the system determines appropriate charging limits that allow maximum regenerative braking absorption while preventing over-charging
Solution Approach 2:
The system dynamically adjusts charging control parameters based on calculated power condition data. It modifies state of charge thresholds and charging rates according to the cumulative power condition assessment, enabling flexible adaptation between maximizing energy recovery and preventing over-charging risks
Data Source
AI summary
The present application relates to an electric off-road vehicle charging control method, a computer device and a storage medium. The method includes: acquiring first power-condition data and second power-condition data; the first power-condition data is a cumulative number of times a feedback ratio of a vehicle-mounted energy storage system is greater than a feedback ratio threshold; the second power-condition data is a cumulative number of times the feedback ratio is less than the feedback ratio threshold; comparing a target difference with a second preset threshold, and determining a charging mode according to the comparison result; the charging mode includes a normal charging mode and a reserving margin capacity charging mode; and controlling, if the charging mode is the reserving margin capacity charging mode, the vehicle-mounted energy storage system to stop charging in a case where the state-of-charge of the vehicle-mounted energy storage system reaches a full charge control state-of-charge.