Hybrid Vehicle Path Planning for Battery SOC and Regeneration
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Solution Overview
Problem
Conventional vehicle power management, including battery management, is reactive and does not optimize energy usage based on anticipated travel paths, leading to inefficiencies in hybrid vehicles.
Innovation Solution
Implementing trajectory path planning to anticipate vehicle travel paths and adjust drive modes proactively, using a system with a GPS receiver, inertial measurement units, and a controller to manage energy storage and propulsion systems, including a variator and electric machines, to maintain a target battery state of charge (SOC) during travel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If reactive power management is used to adjust battery parameters based on current vehicle conditions, then the system is simple to implement, but energy usage efficiency is suboptimal
Solution Approach 1:
The system performs preliminary action by obtaining topographic data and selecting a path plan in advance before the vehicle begins its journey. The controller determines target states of charge for multiple segments of the path ahead of time, allowing proactive energy management rather than reactive adjustments. This enables the vehicle to optimize energy usage efficiency by preparing a comprehensive energy strategy before departure, resolving the contradiction between improved energy efficiency and system complexity.
2Use of energy by moving object
If trajectory path planning is implemented to optimize energy usage proactively, then energy efficiency is improved, but the device complexity increases
Solution Approach 1:
The path is segmented into multiple discrete segments, each with its own target state of charge. The controller processes each segment individually, determining appropriate operating modes and energy management strategies for each portion of the journey. This segmentation approach enables comprehensive energy optimization across the entire path while breaking down the complex control problem into manageable discrete decisions, thereby improving energy efficiency without overwhelming system complexity.
3Loss of energy
If the vehicle operates in regenerative mode on downhill segments to recharge the battery, then energy is recovered and efficiency is improved, but the control system complexity increases
Solution Approach 1:
The system employs feedback by continuously monitoring the vehicle's current state of charge and comparing it against the target state of charge for each path segment. Based on this feedback, the controller automatically adjusts operating modes, selecting regenerative mode on downhill segments when appropriate to recover energy and maintain the desired state of charge trajectory. This feedback mechanism enables automatic energy recovery without requiring complex manual intervention, resolving the contradiction between energy recovery and control complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Optimizes energy usage by maintaining a consistent battery charge throughout a journey, enhancing efficiency and reducing the need for additional human intervention.
Implementation Method 1
In the regenerative mode, the at least one inverter is configured to rectify alternating current generated by rotation of the first electric machine and the second electric machine to charge the energy storage device
Data Source
AI summary
A method for controlling a vehicle includes obtaining topographic data associated with a geographic area, and selecting a path plan based on the topographic data. The path plan indicates a directional path of travel associated with the geographic area, and includes target states of charge (SOC) associated with the segments. The method includes identifying first segments having decreasing elevation as targets for a regenerative mode, during which energy is returned to an energy storage device in the vehicle, and identifying second segments including a plurality of portions having at least one of an increasing elevation or a substantially unchanging elevation. During travel of the vehicle along selected segments of the plurality of segments, operating the vehicle in an operating mode determined in accordance with the path plan until the energy storage device is discharged to a target state of charge (SOC).