EV Charging Profiles for Faster Charging With Lower Battery Heat
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Solution Overview
Problem
Optimizing charging profiles for rechargeable energy storage units in vehicles is challenging due to trade-offs between charging speed, heat buildup, and energy efficiency, as increasing current speeds up charging but leads to heat issues and higher cooling costs.
Innovation Solution
A system with a controller that surveys local charging infrastructure, obtains station parameters, and selects a recommended charging profile based on user-defined goals such as minimizing charging time or cost, using machine learning to optimize each charge session and continuously update the profile during a route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If charging current is increased to speed up charging, then charging time is reduced, but heat buildup increases and cooling energy consumption increases
Solution Approach 1:
The charging system dynamically adjusts the charging current based on real-time battery temperature and state of charge. The controller modifies charging parameters during the charging process to optimize the balance between charging speed and thermal management, rather than using a fixed high current throughout.
Solution Approach 2:
The system changes charging parameters (current, voltage, power) based on battery conditions such as temperature and state of charge. By adapting these parameters dynamically, the system achieves fast charging when conditions permit while reducing current when thermal management becomes critical, thereby minimizing cooling energy requirements.
2Loss of time
If charging current is increased to speed up charging, then charging time is reduced, but heat generation increases
Solution Approach 1:
The charging system dynamically adjusts the charging current based on real-time battery temperature and state of charge. The controller modifies charging parameters during the charging process to optimize the balance between charging speed and thermal management, rather than using a fixed high current throughout.
Solution Approach 2:
The system implements periodic monitoring and adjustment of charging parameters based on battery temperature thresholds. When temperature reaches certain levels, the system temporarily reduces current or pauses charging to allow cooling, then resumes at optimized rates, creating a periodic pattern that prevents excessive heat buildup while maintaining overall charging efficiency.
Data Source
AI summary
A system for optimizing charging for a vehicle having a rechargeable energy storage unit and travelling on a route includes a controller. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. Execution of the instructions by the processor causes the controller to obtain details of the route, including surveying local charging infrastructure to determine availability of one or more charging stations within a predefined radius of the route. The controller is adapted to obtain respective station parameters pertaining to the one or more charging stations. Based on user input, at least one session goal is selected from a predefined set of goals. The controller is adapted to generate a recommended charging profile respectively for one or more stops along the route, based in part on the session goal and the respective station parameters.