Adaptive Battery Discharge Rate Control for Known Routes
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Solution Overview
Problem
Current hybrid, plug-in hybrid, and electric vehicles do not optimally adjust battery charge and discharge rates and limits based on specific driving routes, leading to inefficient energy use and premature battery depletion during high power demand situations.
Innovation Solution
A system and method that store and analyze known driving routes to calculate optimal battery discharge and charge rates and limits for each segment of the route, allowing adaptive adjustments to maximize performance and energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery discharge rate limits are set based on predetermined allowable time to satisfy battery protection requirements, then battery reliability is improved, but vehicle productivity deteriorates due to unnecessary restriction of discharge rate during short acceleration periods
Solution Approach 1:
The patent applies dynamics by making the discharge rate limit adaptive rather than static. The system dynamically adjusts the discharge rate limit based on the actual predicted duration of high power demand segments. When the predicted duration is shorter than the predetermined allowable time, the system allows higher discharge rates than the standard limit, thereby optimizing acceleration performance while still protecting the battery when needed.
Solution Approach 2:
The patent changes the parameter of discharge rate limit based on varying conditions. Instead of using a fixed predetermined limit, the system modifies the discharge rate parameter in real-time based on predicted driving behavior, segment characteristics, and actual duration of high power demand, allowing optimal performance across different operating scenarios.
2Ease of operation
If battery charge and discharge rates are determined based on immediate power demand from driver, then ease of operation is improved, but energy efficiency deteriorates due to rapid SOC depletion during high power demand segments
Solution Approach 1:
The patent applies preliminary action by predicting future power demand based on stored driving route information and known high power demand segments. The system prepares in advance by adjusting charge and discharge rates before the vehicle actually enters high power demand segments, allowing optimized energy management rather than reactive responses to immediate demand.
Solution Approach 2:
The system uses feedback from stored historical driving data and predicted route information to continuously optimize charge and discharge rates. The controller compares predicted power demand with actual vehicle operation and adjusts battery management parameters accordingly, creating a closed-loop system that improves energy efficiency while maintaining responsive power delivery.
3Power
If battery discharge rate is increased during high power demand segments, then vehicle power is improved, but battery reliability worsens due to excessive discharge rates
Solution Approach 1:
The patent changes the discharge rate parameter dynamically based on predicted segment characteristics and actual driving conditions. The system allows higher discharge rates only when predicted duration is within safe limits, and adjusts the rate parameter downward when approaching battery protection thresholds, thereby optimizing power output while maintaining battery reliability.
Solution Approach 2:
The system performs self-service by using stored historical data about the vehicle's own driving patterns and battery characteristics to make intelligent decisions. The controller learns from the vehicle's own operational history to predict future power demand and automatically adjusts discharge rates to balance power delivery with battery protection without external intervention.
Data Source
AI summary
A system and a method for adaptively adjusting a charge and/or discharge rate and a limit of a battery based on a known driving route are described. The method includes storing, in a memory, a known driving route having a plurality of segments, where each segment has a corresponding discharge rate of the battery which was obtained from a previous trip of the vehicle along the same segment. The method also includes calculating, using a processor, an optimal discharge rate for the known driving route, and applying, using the processor, the optimal discharge rate of the vehicle to each segment of the route.