PHEV Power Distribution Controller Using Route-Based SOC Adaptability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Plug-in hybrid electric vehicles face challenges in controlling battery state of charge (SOC) and power distribution, leading to inefficiencies in fuel efficiency due to the lack of real-time consideration of driving states and traffic conditions in existing CD-CS mode systems.
Innovation Solution
A driving assistance system and method that utilizes a controller to determine a control factor for power distribution based on route information, current battery SOC, target SOC, and traffic conditions, updating power distribution to optimize fuel efficiency by adjusting the distance between vehicles and reflecting real-time traffic changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the engine operation is flexibly controlled to manage battery SOC in hybrid vehicles, then the battery SOC control becomes more adaptable, but the driving state cannot be immediately reflected in SOC control
Solution Approach 1:
The navigation device pre-provides route information including traffic conditions, road gradients, and distance data before the vehicle travels the route. This allows the controller to calculate optimal control factors in advance, enabling the SOC control system to respond immediately to driving state changes without the delay caused by flexible engine operation adjustments.
Solution Approach 2:
The controller continuously monitors actual driving states and compares them with the pre-calculated control factors based on route information. When deviations are detected, the system adjusts power distribution in real-time, creating a feedback loop that ensures SOC control immediately reflects current driving conditions while maintaining adaptability to different route scenarios.
2Loss of energy
If power distribution is optimized based on real-time traffic conditions and route information, then fuel efficiency is improved, but the system complexity increases
Solution Approach 1:
The navigation device预先 provides route information including traffic conditions, road gradients, and distance data before the vehicle travels the route. This allows the controller to calculate optimal control factors in advance, reducing real-time computational complexity while maintaining fuel efficiency optimization.
Solution Approach 2:
The controller integrates multiple functions into a single power distribution control system: it processes navigation route information, monitors battery SOC, calculates control factors, and adjusts power distribution between engine and motor. This multi-functionality reduces the need for separate control systems while achieving comprehensive fuel efficiency optimization.
3Use of energy by moving object
If the hybrid vehicle uses both fossil fuel and electricity, then fuel efficiency can be improved, but the SOC control becomes difficult due to flexible engine operation
Solution Approach 1:
Route information including traffic conditions and road gradients is obtained in advance from the navigation device, allowing the controller to pre-calculate optimal control factors for power distribution. This preliminary action simplifies SOC control by providing a predetermined framework that guides engine-motor coordination throughout the journey.
Solution Approach 2:
The controller implements continuous feedback by monitoring actual driving conditions and comparing them with pre-calculated control factors. This feedback mechanism simplifies SOC control by providing clear adjustment guidelines based on deviations from the optimal trajectory, making the dual-energy management more manageable.
Data Source
AI summary
An aspect of the disclosure provides an apparatus and a method for improving fuel efficiency of a plug-in hybrid electric vehicle. The apparatus for assisting driving of a host vehicle includes an input configured to receive an input for activation of a fuel efficiency mode; and a controller configured to: in response to receiving the input for activation of the fuel efficiency mode, determine a control factor for power distribution based on route information received from a navigation device of the host vehicle and a state of a battery, and perform power distribution based on the control factor.