EV Battery Charging Policy Sync for Adaptive Fast Charging
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Solution Overview
Problem
The fast charging of electric vehicle batteries can accelerate battery degradation and pose safety hazards due to inconsistent charging policies that do not account for the battery's current performance status, leading to excessive charging and potential safety risks.
Innovation Solution
A method and system that adaptively adjusts charging parameters based on the generation sequence of charging policies, ensuring that the most recent and suitable policy is applied, thereby aligning with the battery's current performance status to enhance lifespan and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If fast charging is performed using a fixed charging policy, then charging speed is improved, but battery lifespan and safety deteriorate due to exceeding charging acceptance performance
Solution Approach 1:
The charging policy is transformed from a fixed static configuration to a dynamic one that adapts to the battery's current state. The system continuously adjusts charging parameters based on real-time battery status, including health state, temperature, and charge acceptance capability, allowing fast charging to proceed safely without exceeding battery limits
Solution Approach 2:
The charging policy dynamically changes multiple parameters including charging current, voltage, power limits, and temperature thresholds based on battery state. These parameter adjustments enable the system to optimize charging speed while preventing damage by adapting to the battery's varying acceptance performance throughout the charging process
2Adaptability or versatility
If different charging policies are used at different service providers, then charging adaptability is improved, but charging consistency deteriorates leading to suboptimal charging parameters
Solution Approach 1:
The charging policy is designed as a universal solution that can be applied across different service providers and charging scenarios. By basing the policy on the battery's intrinsic state rather than external provider-specific configurations, the system achieves consistent optimal charging parameters regardless of location, while still adapting to different battery conditions
Solution Approach 2:
The system incorporates continuous feedback mechanisms that monitor battery state and adjust charging parameters in real-time. This feedback loop ensures charging consistency by constantly verifying that parameters remain appropriate for the current battery condition, preventing drift or suboptimal settings that could occur with static provider-specific policies
3Ease of operation
If charging parameters are not adapted to battery performance status, then charging simplicity is maintained, but charging efficiency and safety deteriorate
Solution Approach 1:
The battery management system automatically monitors battery state and adjusts charging parameters without requiring user intervention. The system self-regulates charging current, voltage, and power based on real-time battery performance status, maintaining operational simplicity while achieving high charging efficiency through adaptive parameter optimization
Data Source
AI summary
Embodiments of this application provide a charging control method, apparatus, and system, a server, and a medium. In an example method, a generation sequence of a charging policy stored in a first terminal and a generation sequence of a charging policy stored in a second terminal are compared in the first terminal, to determine a relatively new charging policy in the first terminal and the second terminal as a target charging policy. The target charging policy may subsequently configure a charging parameter, so that the charging parameter configured in a charging process is adapted to a current performance status of a power battery of a vehicle.