EV Charging Parameter Control for Cost and Battery Aging
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Solution Overview
Problem
Charging costs for new energy vehicles include electricity costs and battery depreciation, and user power requirements vary by scenario, necessitating optimized charging plans to reduce costs and improve efficiency.
Innovation Solution
A charging optimization system and method that includes an acquisition module, interaction module, processing modules, and a storage module to determine user requirements, battery load features, and optimized charging parameters, generating instructions for battery management systems, and storing historical charging information for data-driven decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If fast charging parameters are used to meet user power requirements, then charging speed is improved, but battery aging depreciation cost increases
Solution Approach 1:
The charging optimization system dynamically adjusts charging parameters (current, voltage, power) in real-time based on battery state of charge, temperature, and user requirements. The system transitions from static charging modes to dynamic parameter adjustment, optimizing the balance between charging speed and battery protection throughout the charging process.
Solution Approach 2:
The system changes charging parameters (current, voltage, power) based on battery state and user needs. By adjusting these parameters dynamically, the system achieves both fast charging when appropriate and battery protection when needed, resolving the contradiction between speed and battery aging.
2Loss of substance
If charging price information is considered to reduce electricity costs, then charging cost is reduced, but charging time may increase
Solution Approach 1:
The system performs preliminary analysis of charging price information, user requirements, and battery state before generating charging plans. By pre-calculating optimal charging strategies based on price patterns and user needs, the system avoids both overpaying for electricity and excessive charging time during actual charging execution.
Solution Approach 2:
The system dynamically adjusts charging parameters in response to real-time price information and battery state changes, enabling flexible optimization that balances cost reduction with time efficiency based on current conditions.
3Productivity
If multiple charging parameters are optimized to meet different user scenarios, then charging efficiency is improved, but system complexity increases
Solution Approach 1:
The charging optimization system segments the charging process into distinct phases (pre-charging, constant current charging, constant voltage charging, over-charging prevention) and applies different parameter optimization strategies to each phase. This segmentation enables complex multi-parameter optimization without overwhelming system complexity, as each phase has focused optimization goals.
Solution Approach 2:
The system implements a universal charging optimization framework that handles multiple user scenarios (fast charging, cost optimization, battery protection, balanced mode) through a single integrated platform. This multi-functional design achieves high charging efficiency across diverse scenarios while avoiding the need for separate complex systems for each function.
Data Source
AI summary
Disclosed is a charging optimization method and system for a new energy vehicle. The system comprises: an acquisition module, an interaction module, a first processing module, a second processing module, a control module, and a storage module. The acquisition module is configured to obtain data. The first processing module is configured to determine candidate parameters. The interaction module is configured to send the candidate parameters to a user and obtain a target charging parameter. The second processing module is configured to determine an optimized charging parameter. The control module is configured to generate an optimized charging instruction and send the optimized charging instruction to a battery management system for battery charging; in response to completing charging, generate current charging information and a storage update instruction; and send a reminder. The storage module is configured to store the current charging information and storage information; and delete historical charging information.