Engine Heater Controller for Multi-Source Energy Optimization
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Solution Overview
Problem
Traditional engine heating systems lack awareness of alternative energy sources and are unable to optimize energy consumption, leading to increased costs and inefficiencies in managing engine temperature.
Innovation Solution
A controller is communicatively coupled with multiple energy sources and the engine, allowing it to select and switch between energy sources based on cost and availability to maintain a desired temperature range, while providing a graphical user interface for remote management and diagnostics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If traditional engine heating systems use a single energy source, then the system is simple to operate, but energy consumption cost increases and efficiency decreases
Solution Approach 1:
The system dynamically selects and switches between multiple energy sources (solar, wind, grid electricity, battery) based on real-time availability, cost, and engine temperature requirements. The controller continuously monitors conditions and adjusts the energy source configuration, transforming a static single-source system into a dynamic multi-source system that optimizes energy consumption.
Solution Approach 2:
The heating system is designed to accept and utilize multiple types of energy sources simultaneously or alternately. The controller can draw power from solar panels, wind turbines, grid electricity, or battery storage, making the system universal in its ability to process different energy types and select the most cost-effective option.
2Reliability
If engine heater is always on to maintain temperature, then engine readiness is ensured, but energy consumption increases
Solution Approach 1:
The controller continuously monitors engine temperature and compares it against the desired temperature range. Based on this feedback, the controller adjusts the heating element operation and energy source selection to maintain temperature only when necessary, rather than running continuously. This feedback loop ensures engine readiness while minimizing energy consumption by activating heating only when temperature drops below the threshold.
Solution Approach 2:
The system changes operational parameters (energy source selection, heating power level) based on real-time conditions such as engine temperature, energy source availability, and cost considerations. The controller adjusts these parameters dynamically to maintain reliability while optimizing energy usage.
3Productivity
If multiple energy sources are integrated, then energy optimization is improved, but system complexity and control difficulty increase
Solution Approach 1:
The controller serves as an intermediary that manages the complexity of integrating multiple energy sources. It receives inputs from various energy sources, processes information about availability and cost, and automatically selects the optimal combination without requiring direct user intervention. This intermediary component handles the computational complexity while presenting a simplified interface to the user.
Solution Approach 2:
The system performs self-service by automatically monitoring energy source availability, comparing costs, and selecting the most economical option without human intervention. The controller autonomously manages the complexity of multi-source integration, making decisions based on pre-programmed optimization criteria and real-time conditions.
4Loss of information
If controller monitors multiple energy sources, then energy source visibility is improved, but information processing requirements increase
Solution Approach 1:
The controller is pre-configured with cost data and selection criteria for each energy source. Before real-time operation, the system establishes the framework for evaluating energy sources, including cost per unit energy and availability thresholds. This preliminary setup reduces the complexity of real-time information processing by having decision-making criteria ready in advance.
Data Source
AI summary
An energy consumption controller may be communicatively coupled with a plurality of alternative energy sources and an engine. The controller may be configured to manage energy consumption from the alternative energy sources interconnected with the engine and to keep the engine within a desired temperature range. Within the desired temperature range, the engine will start and run at a full load more rapidly than if the engine cooled excessively. The controller may change the selected energy source as required, based on factors such as cost, engine maintenance and testing and/or imminent need of the engine.