Dynamic Thermal Management for Electric Vehicle Battery Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional thermal energy management systems for electric vehicles are based on static information and do not consider real-time or predictive data, limiting the operational performance, range, and charging efficiency of high voltage battery systems, which are sensitive to temperature changes.
Innovation Solution
An energy management system that utilizes real-time and predictive data from propulsion, thermal, and navigation sensors to adjust thermal and propulsion parameters, optimizing energy storage system performance by monitoring current capacity, thermal parameters, and navigation data to reduce energy consumption and trip time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional static thermal energy management is used, then system simplicity is maintained, but operational performance and charging efficiency deteriorate due to lack of real-time optimization
Solution Approach 1:
The patent implements dynamic thermal energy management by continuously adjusting thermal parameters based on real-time battery state (temperature, charge level, health) and environmental conditions. The system transitions from static pre-programmed thermal management to dynamic adaptation, optimizing cooling/heating strategies during charging and operation to maintain battery performance while accounting for varying operational contexts.
Solution Approach 2:
The system incorporates feedback mechanisms by monitoring real-time battery parameters (temperature, charge state, health metrics) and environmental conditions, then using this information to adjust thermal management strategies. The control unit receives continuous data from sensors and modifies thermal parameter settings accordingly, creating a closed-loop system that responds to actual battery needs rather than following fixed protocols.
2Use of energy by moving object
If real-time and predictive data processing is implemented, then energy consumption optimization improves, but computational requirements and system complexity increase
Solution Approach 1:
The system performs preliminary computational analysis by processing navigation data and predicting future energy requirements before the actual driving scenario occurs. The control unit calculates anticipated energy consumption based on route information, traffic patterns, and battery state, allowing proactive optimization of thermal management and charging strategies rather than reactive adjustments.
Solution Approach 2:
The patent optimizes energy consumption by dynamically changing operational parameters including thermal management settings, charging power levels, and battery temperature targets. The system adjusts these parameters in real-time based on predicted energy needs and actual battery response, finding optimal balance points that minimize energy waste while maintaining performance requirements.
Data Source
Figure 1
Figure 2
AI summary
The present disclosure relates to an energy management system for an energy storage system of a vehicle, a vehicle comprising such an energy management system, an energy management method for an energy storage system of a vehicle and a computer program element for an energy management system of a vehicle. The energy management system comprises a propulsion sensor unit, a heat sensor unit, an energy storage sensor unit, a navigation unit and a control unit. The propulsion sensor unit is configured to monitor at least one propulsion parameter of the vehicle. The heat sensor unit is configured to monitor at least one thermal parameter of the vehicle. The energy storage sensor unit is configured to monitor at least one state parameter of the energy storage system, wherein the state parameter comprises at least a current capacity of the energy storage system. The control unit is configured to receive navigation data based on a calculation of a route from a current position to a destination of the vehicle by the navigation unit. The control unit is configured to estimate an upcoming energy consumption based on the propulsion parameter, the thermal parameter and/or the navigation data. The control unit is further configured to adjust at least one of the thermal parameter and the propulsion parameter of the vehicle based on the current capacity of the energy storage system to reduce the upcoming energy consumption and/or a trip time of the vehicle to the destination.