Predictive Energy Management for Hybrid Vehicles
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Solution Overview
Problem
Existing energy management systems for transport devices, such as fuel-electric vehicles, require overdimensioning of energy sources and storage to handle peak loads, leading to inefficiencies and increased fuel consumption, especially during part-load operations.
Innovation Solution
An energy management system that regulates energy provision and consumption based on future energy requirements, using information like load prognosis and peak load data to optimize the operation of the primary energy source and energy buffer store, allowing for smaller energy sources and reduced fuel consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If the energy source and buffer store are dimensioned to handle peak loads, then the transport device can meet maximum power demands, but the energy source operates inefficiently during part-load operations and fuel consumption increases
Solution Approach 1:
The energy buffer store is charged in advance during periods when the energy source operates efficiently, so that energy is available when peak demand occurs. This allows the energy source to avoid inefficient part-load operation by relying on pre-stored energy during high-demand periods.
Solution Approach 2:
The energy buffer store acts as an intermediary between the energy source and the energy consumers. It decouples the operation of the energy source from the variable demand of consumers, allowing the source to operate at optimal points while the buffer absorbs demand fluctuations.
2Power
If the energy source is dimensioned for maximum load, then peak power requirements are met, but the device complexity and cost increase due to overdimensioning
Solution Approach 1:
The power delivery function is segmented between the energy source and the energy buffer store. The source is sized for efficient base-load operation, while the buffer store handles peak power demands, allowing each component to be optimally sized for its specific function rather than both needing to handle maximum load.
Solution Approach 2:
The system dynamically shifts the burden of power delivery between the energy source and buffer store based on real-time conditions. The buffer store is charged when the source operates efficiently and discharged when peak demand occurs, creating a flexible, adaptive power delivery system.
3Reliability
If refilling the energy store is demanded when storage falls below minimum value, then the transport device remains ready for use, but transport tasks must be interrupted for refilling operations
Solution Approach 1:
The energy buffer store is refilled in advance before the main energy store is depleted, ensuring continuous operation. By monitoring energy levels and proactively charging the buffer store during off-peak periods or when the main store is still sufficient, the system avoids interruptions to transport tasks.
Data Source
AI summary
An energy management system for a transport device, in particular for a motor vehicle running on fuel and electricity, includes an energy source, an intermediate energy store and an electric energy consumer, in particular an electric drive. Control and/or regulation of the provision of energy, which is dependent on information relating to future energy requirements and supplied by means of at least one part of the transport device, can be carried out by the energy management system by means of the intermediate energy store and/or the energy requirements.