EV Battery Management With Predictive Degradation Control
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Solution Overview
Problem
Electric vehicle batteries degrade differently based on environmental conditions and usage, leading to inconsistent performance and potential overprotection, which can restrict vehicle performance and impair battery life.
Innovation Solution
A battery management system that includes a server estimating the future degradation state of batteries in electric vehicles and adjusting vehicle control to delay degradation by updating battery control programs and altering driving routes and patterns to reduce stress on batteries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery control programs apply excessive safety margins to prevent degradation, then battery reliability is improved, but vehicle performance is restricted
Solution Approach 1:
The system dynamically changes control parameters based on the estimated future degradation state. When degradation is predicted to be severe, conservative parameters are applied; when degradation is mild, less restrictive parameters are used, allowing full vehicle performance. This resolves the contradiction by making safety margins adaptive rather than static.
Solution Approach 2:
The battery control program transitions from static safety margins to dynamic adjustment based on real-time degradation estimation. The control characteristics are continuously updated according to the predicted degradation state, allowing the system to optimize between reliability and performance based on current battery conditions.
2Reliability
If uniform battery degradation management is applied across all electric vehicles, then battery reliability is improved, but individual vehicle usage patterns are not optimized
Solution Approach 1:
The system applies local quality by customizing battery control parameters for each individual vehicle based on its specific usage patterns, environment, and battery characteristics. Instead of uniform management, each vehicle receives tailored control strategies that optimize its unique conditions while still achieving overall degradation reduction across the fleet.
Solution Approach 2:
The fleet management system segments the battery population into individual vehicles with unique degradation profiles. Each vehicle's battery is managed independently with customized control parameters, allowing the system to address individual usage patterns while maintaining overall fleet-wide degradation management.
3Duration of action of stationary object
If real-time battery control adjustment is implemented, then battery degradation is delayed, but system complexity increases
Solution Approach 1:
The system performs preliminary estimation of future battery degradation state using machine learning models and historical data. By predicting degradation trends in advance, the control system can proactively adjust parameters before actual degradation occurs, reducing the need for complex real-time monitoring and adjustment mechanisms.
Solution Approach 2:
The battery management system uses the battery's own historical data and operational patterns to estimate its future degradation state. This self-service approach eliminates the need for external complex monitoring systems, as the battery effectively monitors and manages itself through the embedded estimation algorithm.
Data Source
AI summary
A battery management system for electric vehicles includes electric vehicles each including a battery to supply electric power to a driving motor and an information processor to communicate with the electric vehicles. The electric vehicles each include a degradation state detector to detect a degradation state of the battery, and a usage state detector to detect a usage state of the battery. The information processor include a battery information storage to store information about the degradation state and the usage state of the battery, a degradation state estimator to estimate a future degradation state of the battery of a specific electric vehicle, based on the information stored in the battery information storage, and a vehicle control changer to change control of a certain electric vehicle to delay degradation of the battery if the future degradation state of the battery is estimated to deteriorate by a predetermined amount or greater.