Route-Based Power Management for Evolving Terrain Demand
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Solution Overview
Problem
Existing energy management systems for vehicles traversing evolving routes, such as off-road transporters, face challenges in optimizing fuel use, emissions, and engine wear due to dynamic route conditions, which vary over time and location, making static energy management inefficient.
Innovation Solution
A power management system that utilizes a remote server to generate terrain maps based on sensor data from a fleet of vehicles, predicting future power demands and apportioning power between multiple energy sources to optimize energy use, including hybrid systems and battery power management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static energy management is used, then device complexity is reduced, but fuel efficiency deteriorates under dynamic route conditions
Solution Approach 1:
The energy management system transitions from static to dynamic operation by continuously adapting power distribution based on real-time terrain conditions, vehicle state, and predicted future demands. The controller adjusts power apportionment dynamically as the vehicle traverses evolving routes, resolving the contradiction between system simplicity and fuel efficiency.
Solution Approach 2:
The system performs preliminary actions by predicting future power demands based on terrain maps and vehicle state before actually encountering those conditions. This allows proactive optimization of energy usage rather than reactive adjustments, improving fuel efficiency while maintaining manageable system complexity through forecast-based planning.
2Use of energy by moving object
If real-time power adjustment is implemented, then fuel efficiency is improved, but system complexity increases
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring vehicle state, terrain conditions, and power source performance, then using this information to adjust power distribution in real-time. The controller receives feedback from sensors and actively adapts the energy management strategy, achieving fuel efficiency through closed-loop control while managing complexity through systematic feedback processing.
Solution Approach 2:
The energy management system performs self-service by autonomously optimizing power distribution without requiring external intervention. The controller independently processes terrain data, predicts future demands, and adjusts power apportionment based on current vehicle state and power source conditions, reducing the need for complex external control systems while maintaining high fuel efficiency.
3Use of energy by moving object
If multiple power sources are coordinated, then energy optimization is improved, but control complexity increases
Solution Approach 1:
The system optimizes energy usage by dynamically changing operational parameters of multiple power sources based on their respective states and the predicted power demand. The controller adjusts parameters such as power output levels, charge/discharge rates, and operational modes of different power sources according to terrain conditions and vehicle state, achieving energy optimization while managing coordination complexity through parameter-based control.
Data Source
AI summary
Power management is provided. A system for power management includes one or more processors. The processors are configured to detect, from a plurality of sensors for a vehicle, sensor data indicative of an evolving route. The processors are configured to provide, to a remote server, the sensor data. The processors are configured to receive, from the remote server, a terrain map indicative of a state of an evolving route. The processors are configured to predict, based on the terrain map, a future power demand for the vehicle. The processors are configured to apportion, based on the prediction, the power demand between a first power source and a second power source. The processors are configured to generate control signals to modulate, according to the apportionment, a power output of at least one of the first power source or the second power source.