Dynamic Battery Coupling for Electric Vehicle Energy Loss Reduction
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Solution Overview
Problem
Existing electric vehicle systems face inefficiencies in dynamically managing multiple batteries to optimize energy delivery to electric motors based on varying operating conditions, leading to suboptimal performance and energy loss due to improper battery selection and placement.
Innovation Solution
A system that includes a controller and sensing subsystems to dynamically load or couple batteries to an electric motor based on real-time operating conditions, such as acceleration and power requirements, allowing for selective use of batteries located closer or farther from the motor to minimize energy losses and optimize performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a single battery is used to power the electric motor, then the system structure is simple, but energy delivery efficiency is suboptimal under varying operating conditions
Solution Approach 1:
The battery system is segmented into multiple batteries (first battery and second battery) with different capacities and locations. The controller can selectively couple either the first battery, the second battery, or both in parallel to the electric motor based on operating conditions, enabling optimized energy delivery while managing system complexity through modular architecture
Solution Approach 2:
The system dynamically adjusts which battery or combination of batteries is coupled to the electric motor based on real-time operating conditions such as acceleration requests and power requirements. This dynamic reconfiguration allows the system to optimize energy delivery efficiency for different driving scenarios
2Productivity
If batteries are selectively coupled based on location, then energy delivery efficiency is optimized, but control complexity increases
Solution Approach 1:
The controller receives information about operating conditions and battery states, then selectively couples batteries based on this feedback. The system monitors acceleration requests, power requirements, and battery characteristics to make real-time decisions about which battery to couple to the electric motor, optimizing energy delivery efficiency
Solution Approach 2:
The system changes operational parameters by selectively coupling different batteries based on their characteristics (capacity, location) and current operating conditions. The controller adjusts which battery parameters are active (coupled) versus inactive (decoupled) to optimize energy delivery for the current driving scenario
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances operational efficiency by ensuring the right battery is used for the right conditions, reducing energy losses and improving vehicle performance by dynamically adjusting battery coupling based on instantaneous changes in operating conditions.
Implementation Method 1
EVs and HEVs include one or more rechargeable high voltage batteries to store and deliver the substantial electrical energy necessary to drive the electric motor
Data Source
AI summary
A system for dynamic battery loading for electric vehicles includes an electric motor to displace a vehicle. A first battery stores a first electric power charge and a second battery stores a second electric power charge. A controller dynamically loads or couples the first battery or the second battery to deliver the first electric power charge or the second electric power charge, respectively, to the electric motor based at least in part on the power signal, a location of the first battery, or a location of the second battery within the vehicle.