Hybrid Vehicle Power Distribution via Cloud-Optimized Control Logic
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Solution Overview
Problem
Conventional control strategies for hybrid electric vehicles, both rule-based and optimization-based, face challenges in optimizing power distribution in real-time and adapting to various driving situations, leading to suboptimal fuel efficiency.
Innovation Solution
A system and method that utilizes a driving information provider to collect and transmit data to a cloud server, which selects and transmits optimal power distribution control logic based on real-time driving conditions, enabling the vehicle controller to adjust engine and motor power distribution accordingly, leveraging stochastic optimization theory to improve fuel efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If rule-based control strategy is used for power distribution, then ease of operation is improved, but adaptability to various driving situations deteriorates
Solution Approach 1:
The patent implements dynamic adaptability by enabling the vehicle controller to update power distribution control logic in real-time based on received driving situation data and optimization results from the server, transforming the static rule-based system into a dynamic one that adapts to various driving conditions
Solution Approach 2:
The patent establishes a feedback mechanism where driving situation data is transmitted to the server, optimization results are received, and the vehicle controller updates its control logic accordingly, creating a closed-loop system that continuously improves adaptability while maintaining operational simplicity
2Use of energy by moving object
If optimization-based control strategy is used for power distribution, then fuel efficiency is improved, but ease of operation deteriorates
Solution Approach 1:
The patent introduces a server as an intermediary that performs complex optimization calculations remotely, allowing the vehicle controller to achieve optimal fuel efficiency without bearing the computational burden, thus maintaining ease of operation while improving energy efficiency
Solution Approach 2:
The patent replaces the mechanical complexity of real-time optimization calculations within the vehicle controller with a cloud-based computational system, substituting onboard computational mechanics with remote server processing to simplify the vehicle's control system
3Device complexity
If conventional control technology is used, then device complexity is reduced, but adaptability to driving situations deteriorates
Solution Approach 1:
The patent adds a new dimension to the control system by introducing cloud-server-based optimization, moving from purely onboard control to a distributed control architecture that leverages external computational resources without significantly increasing onboard device complexity
Data Source
AI summary
A power distribution control system of a vehicle includes a driving information provider for collecting and providing information required for power distribution control of an engine and a motor in the vehicle; a communication unit for transmitting the information provided by the driving information provider from the vehicle; a cloud server outside the vehicle for selecting and transmitting optimal power distribution control logic data corresponding to a driving situation of the vehicle based on the information provided through the communication unit from the vehicle; and a vehicle controller for performing power distribution control of the engine and the motor based on real-time driving state variable information of the vehicle using the optimal power distribution control logic data received through the communication unit by the vehicle from the cloud server.