Customized electrical vehicle range estimation system based on location and driver
AssigneesToyota Motor Engineering & Manufacturing North America, Inc., Toyota Jidosha Kabushiki Kaisha
InventorsYONGKANG LIU, EMRAH AKIN SISBOT, KENTARO OGUCHI
Life of this patent
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Abstract
Systems and methods are provided for estimating the energy range of an electric vehicle, including updating an energy consumption estimation model based on the location of a vehicle or based on the current time. One embodiment comprises obtaining a route of a vehicle and deploying an energy consumption estimation model to provide an energy consumption estimate along the route from a first location to a destination. In response to determining that the vehicle enters a subsequent location, the energy consumption estimation model is updated with a location model received from an edge/cloud server, to estimate an energy range along the route through the subsequent location.
Claims20
A system for estimating an energy range of a vehicle, comprising:
- a memory storing instructions;
- and
- one or more processors communicably coupled to the memory and configured to execute the instructions to:
- obtain a route of the vehicle;
- deploy an energy consumption estimation model to provide an energy consumption estimate along the route from a first location to a destination;
- in response to determining that the vehicle enters a subsequent location, update the energy consumption estimation model with a location model received from an edge/cloud server, to estimate an energy range along the route through the subsequent location;
- and
- provide an output based on whether the estimated energy consumption is less than a current energy capacity.
A method for estimating an energy range of a vehicle, comprising:
- obtaining a route of the vehicle;
- deploying an energy consumption estimation model to provide an energy consumption estimate along the route from within a first time period to a destination;
- in response to determining that the vehicle enters a subsequent time period, updating the energy consumption estimation model with a time-based model received from an edge/cloud server, to estimate an energy range along the route within the subsequent time period;
- and
- providing an output based on whether the estimated energy consumption is less than a current energy capacity.
A system implemented in an edge/cloud server for energy range estimation of connected vehicles, the system comprising:
- a memory storing instructions;
- and
- one or more processors communicably coupled to the memory and configured to execute the instructions to:
- receive model parameters from the connected vehicles;
- train one or more location models in a hierarchical learning framework using the received model parameters and historical data from the connected vehicles to estimate an energy range along a route in a predetermined location, each location model corresponding to a respective predetermined location;
- and
- distribute a respective trained location model to at least one connected vehicle, the at least one connected vehicle proceeding along a route that travels through a respective predetermined location corresponding to the respective trained location model.
Dependencies are inferred from the claim text.