EV Supercapacitor Battery Customization for Propulsion Efficiency
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Solution Overview
Problem
Existing electric vehicle energy storage systems lack customization to optimize performance based on individual vehicle attributes and user profiles, leading to inefficiencies in propulsion and energy management.
Innovation Solution
A system comprising a vehicle attribute sensor, user profile database, and control system with a processor and memory that selects energy storage unit attributes to customize energy storage units for propulsion mechanisms based on vehicle and user data, using machine learning models to optimize energy architecture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a standardized energy storage unit is used in electric vehicles, then the device complexity is reduced and manufacturing is easier, but the propulsion efficiency and energy management performance cannot be optimized for individual vehicle attributes and user profiles
Solution Approach 1:
The energy storage unit attributes are made dynamically selectable rather than fixed, allowing the system to adapt configuration parameters such as capacitance, voltage, and power rating based on real-time vehicle attributes and user profiles. This dynamic customization enables optimization of propulsion efficiency without permanently increasing device complexity.
Solution Approach 2:
The system changes key parameters of the energy storage unit including capacitance value, voltage rating, power output, and physical dimensions to match specific vehicle requirements and user preferences. By varying these parameters, the system achieves optimized propulsion efficiency for different applications while maintaining a standardized base platform.
2Reliability
If energy storage units are customized for each vehicle and user profile, then propulsion efficiency and energy management are optimized, but the manufacturing complexity and system configuration difficulty increase
Solution Approach 1:
The energy storage system is segmented into modular components that can be independently configured and assembled. This segmentation allows standardized manufacturing of base units while enabling flexible customization through modular assembly, reducing both manufacturing complexity and improving energy management optimization.
Solution Approach 2:
A universal platform for energy storage units is created that can serve multiple vehicle types and user profiles through configurable parameters. This multi-functional approach allows a single manufacturing process to produce customized units for different applications, maintaining ease of manufacture while achieving optimized energy management.
3Use of energy by moving object
If the energy storage unit attributes are selected based on comprehensive vehicle and user data analysis, then the energy utilization is improved, but the system complexity and data processing requirements increase
Solution Approach 1:
The control system automatically performs data analysis and attribute selection without requiring complex external intervention. The system self-configures the energy storage unit parameters by processing vehicle and user data, improving energy utilization while minimizing the complexity burden on the overall system architecture.
Solution Approach 2:
The system incorporates feedback mechanisms that use actual vehicle performance and user behavior data to continuously optimize energy storage unit configuration. This feedback loop improves energy utilization by adapting to real-world conditions while keeping the control system complexity manageable through iterative optimization.
Data Source
AI summary
Disclosed herein are systems and methods for energy architecture customization. A vehicle attribute sensor measures one or more attributes of a vehicle. A user profile database stores information about a user of the vehicle. A control system with a processor and a memory selects one or more attributes of an energy storage unit to customize the energy storage unit for powering at least a propulsion mechanism of the vehicle based on the one or more attributes of the vehicle and the information about the user of the vehicle. A output interface outputs an indication of the selected one or more attributes of the energy storage unit.