Cloud-Based Battery Equalization Charging for EV Pack Inconsistency
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Solution Overview
Problem
Existing battery management systems (BMS) struggle to effectively address battery inconsistency in new energy vehicles, particularly during the SOC range of 20% to 80%, leading to reduced vehicle driving range, power loss, and increased maintenance costs due to irreparable battery issues.
Innovation Solution
A cloud platform determines the degree of battery inconsistency and triggers an auxiliary equilibrium charging strategy for the charging device, employing high-rate, trickle, and pulse charging based on real-time data and user habits to balance battery performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle-side BMS uses equilibrium circuit to adjust individual battery power, then battery inconsistency is reduced, but equilibrium capability is limited due to small voltage fluctuation in SOC 20%-80% range
Solution Approach 1:
The patent transitions from vehicle-side equilibrium to cloud-based equilibrium management by adding the communication dimension. The cloud platform receives battery data from multiple vehicles, performs centralized analysis, and generates equilibrium strategies, thereby overcoming the limitations of vehicle-side BMS in detecting and addressing battery inconsistency.
Solution Approach 2:
The cloud platform acts as an intermediary between the charging device and the vehicle-side BMS. It receives battery data, analyzes inconsistency issues, generates equilibrium strategies, and transmits them to charging devices, enabling enhanced equilibrium capability without modifying the vehicle-side BMS hardware.
2Productivity
If charging ends before equilibrium is achieved, then charging time is reduced, but battery inconsistency worsens leading to irreparable damage
Solution Approach 1:
The cloud platform performs preliminary analysis of battery data before charging completes, identifies inconsistency issues early, and generates equilibrium strategies in advance. This allows equilibrium to be initiated promptly after charging ends, preventing irreversible battery damage while minimizing impact on charging speed.
Solution Approach 2:
The system implements continuous feedback loops where the cloud platform monitors battery data, evaluates equilibrium effectiveness, and adjusts strategies accordingly. This ensures that equilibrium is achieved efficiently without unnecessarily extending charging time, maintaining both productivity and reliability.
3Reliability
If cloud platform implements auxiliary equilibrium charging strategy, then battery consistency is enhanced, but system complexity increases
Solution Approach 1:
The cloud platform performs multiple functions: data collection from multiple vehicles, inconsistency analysis, equilibrium strategy generation, and strategy transmission to charging devices. This multi-functionality consolidates complexity into a single centralized system rather than requiring modifications to multiple vehicle-side BMS units.
Solution Approach 2:
The system enables self-service equilibrium where the cloud platform automatically monitors battery data, identifies inconsistency issues, generates appropriate equilibrium strategies, and implements them without human intervention. This automation reduces operational complexity while enhancing battery consistency.
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
The solution enhances battery consistency, extends the vehicle's driving range, prolongs battery life, and reduces maintenance costs without affecting user experience, enabling automatic background repair of battery inconsistencies.
Implementation Method 1
employing high-rate, trickle, and pulse charging based on real-time data and user habits to balance battery performance
Data Source
AI summary
A method, a device and a system for vehicle power battery auxiliary equilibrium is provided. The method includes: determining a degree value of a power battery inconsistency problem by a cloud platform according to data of the power battery; and according to the degree value of the power battery inconsistency problem, triggering by the cloud platform an auxiliary equilibrium charging strategy to be issued to a charging device, so that the charging device charges the power battery according to the issued auxiliary equilibrium charging strategy. According to the embodiments of the present application, it is possible to assist the equilibrium function of a vehicle-side battery management system, repair the power battery inconsistency problem, increase the full-power mileage of the electric vehicles, extend the service life of the power battery, and reduce the cost of using the vehicle. It does not affect the user's daily vehicle use experience.