Hybrid Supercapacitor Battery Control for EV Range and Battery Life
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Solution Overview
Problem
The driving range of electric and hybrid vehicles is limited by the power capacity of their energy storage units, and existing systems do not efficiently manage the combination of supercapacitors and electrochemical batteries to optimize power delivery and extend battery life.
Innovation Solution
A system with a supercapacitor and electrochemical battery, managed by an energy control system (ECS) that includes a processor to selectively connect these units to an electric drivetrain, using machine learning and anticipatory algorithms to optimize power distribution and extend battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If the power capacity of energy storage units is increased to extend driving range, then the vehicle range is improved, but the system complexity and power management difficulty increase
Solution Approach 1:
The energy storage system is segmented into multiple supercapacitor modules, each with its own battery management unit. This modular segmentation allows the system to achieve high power capacity while maintaining manageable complexity through distributed intelligence and standardized interfaces.
Solution Approach 2:
A central energy management system acts as an intermediary that coordinates between multiple supercapacitor modules and the electrochemical battery. This mediator integrates power distribution decisions, balances load allocation, and manages the hybrid system to extend driving range without proportionally increasing operational complexity.
2Productivity
If supercapacitor and electrochemical battery are combined to optimize power delivery, then power distribution efficiency is improved, but the control system complexity increases
Solution Approach 1:
The system dynamically adjusts power distribution between supercapacitor and electrochemical battery based on real-time conditions such as power demand, state of charge, and temperature. This dynamic control optimizes power delivery efficiency by allocating power from the appropriate source for each operating condition.
Solution Approach 2:
The control system monitors and adjusts multiple parameters including voltage, current, temperature, and state of charge to optimize power distribution. By changing operational parameters based on system state, the system achieves efficient power delivery while using standardized control algorithms that manage complexity.
3Duration of action of stationary object
If selective connection of supercapacitor or electrochemical battery is implemented, then battery life is extended, but the switching control complexity increases
Solution Approach 1:
The system performs preliminary assessments of power requirements and battery state before switching between energy sources. By predicting power demands and pre-positioning the appropriate energy source, the system extends battery life through reduced charge cycles while minimizing switching complexity through anticipatory control.
Solution Approach 2:
The battery management system continuously monitors battery state of charge, temperature, and cycle count, using this feedback to make intelligent switching decisions. This feedback mechanism extends battery life by optimizing when to use supercapacitor versus battery power while using simple threshold-based control logic to manage switching operations.
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
Enhances vehicle range by optimizing power delivery and extending the life of energy storage units through intelligent power management, ensuring efficient power distribution and proactive maintenance.
Implementation Method 1
A supercapacitor is a type of capacitor that can be used as an energy storage unit
Implementation Method 2
a plurality of energy storage units that include a supercapacitor and an electrochemical battery
Data Source
AI summary
Disclosed herein are systems and methods for energy management. A system, such as a vehicle, includes a plurality of energy storage units that include a supercapacitor and an electrochemical battery. The system includes plurality of energy storage units including a supercapacitor and an electrochemical battery, the supercapacitor comprising a plurality of selectable power sources, and an adder module including a processor. The processor is configured to execute instructions to selectively connect the supercapacitor or the electrochemical battery to an electric drivetrain to propel the vehicle. The processor may be configured to measure the selectable power sources and determine a set of the selectable power sources to connect to the system.