EV Battery Charge-Discharge Control for Mobility and Degradation
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Solution Overview
Problem
Existing charge and discharge control systems for electric vehicle storage batteries fail to ensure energy security for vehicle movement and battery health, leading to potential electricity shortages and accelerated battery degradation, as they do not consider the vehicles' mobility and battery states during charging and discharging operations.
Innovation Solution
A charge and discharge control device with a controller that uses a behavior prediction model to forecast vehicle behavior and a battery degradation prediction model to optimize charge and discharge power amounts for each vehicle, ensuring that the accumulation value of charge and discharge amounts follows demand while minimizing battery degradation, by controlling the charging and discharging operations based on predicted remaining capacities and set limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If charging and discharging of storage batteries is performed to meet electric power company demand without considering vehicle mobility requirements, then the charge and discharge power amount follows the demand value, but energy required for vehicle movement may not be secured leading to electricity shortage
Solution Approach 1:
The system performs preliminary prediction of vehicle behavior (movement patterns, usage schedules) and battery degradation before optimizing charge/discharge operations. By anticipating future vehicle needs and battery states, the system pre-determines appropriate charge/discharge strategies that will meet both power company demands and vehicle mobility requirements, preventing electricity shortages before they occur.
Solution Approach 2:
The system continuously monitors actual vehicle behavior and battery states, comparing them against predicted values. This feedback loop allows the system to adjust charge/discharge control strategies in real-time, ensuring that power company demand requirements are met while preventing situations where vehicle energy needs cannot be satisfied.
2Ease of operation
If charging and discharging of storage batteries is performed without considering battery states, then charge and discharge operations can be freely controlled, but degradation of the storage batteries progresses
Solution Approach 1:
The system dynamically adjusts charge/discharge control parameters (power amounts, timing, duration) based on predicted battery degradation and actual battery states. By changing these parameters adaptively, the system maintains operational flexibility while preventing excessive degradation that would shorten battery life. The optimization process modifies charge/discharge parameters to minimize degradation while still meeting power company demands.
Solution Approach 2:
The system continuously monitors battery states (charge levels, temperature, degradation indicators) and uses this feedback to adjust charge/discharge control strategies. When battery degradation is detected or predicted, the system automatically modifies operational parameters to reduce stress on the battery, thereby extending its lifespan while maintaining necessary charge/discharge operations.
3Device complexity
If individual vehicle behavior is not considered in charge and discharge control, then control system complexity is reduced, but the accumulation value of charge and discharge amounts cannot accurately follow the demand value for vehicle groups
Solution Approach 1:
The system divides the vehicle group into individual vehicle units, each with its own behavior prediction and charge/discharge optimization. By segmenting the control approach, the system can accurately track and optimize the accumulation value of charge/discharge amounts across all vehicles to match power company demand. This segmented approach maintains manageable complexity through modular processing of individual vehicle data.
Solution Approach 2:
The system employs a universal behavior prediction model and optimization framework that can be applied to all vehicles in the group simultaneously. This multi-functional approach allows the system to handle individual vehicle variations while maintaining a unified control strategy that ensures the aggregate charge/discharge output follows the power company demand curve, achieving both accuracy and efficiency.
Data Source
AI summary
A charge and discharge control device includes a controller configured to: predict, for each of vehicles included in a vehicle group, a remaining capacity of a storage battery mounted on each of the vehicles within a future predetermined period using a behavior prediction model that predicts behavior of each of the vehicle; optimize, for each vehicle, an instruction value of a charge and discharge power amount of the storage battery within the predetermined period such that an accumulation value of the charge and discharge power amounts follows a demand value for the vehicle group while minimizing a degradation amount of the storage battery using the predicted remaining capacities of the storage batteries and a battery degradation prediction model that predicts the degradation amount of the storage battery from the remaining capacity; and control a charging and discharging operation of the storage battery according to the optimized instruction value.