Method and system for controlling a powertrain in a hybrid vehicle
Methods and systems for a powertrain power management in a vehicle with an electric motor, and an engine are disclosed. The methods and systems involve a powertrain that is operatively coupled to the engine and the electric motor, and an optimizer module operatively coupled to the powertrain. The optimizer module receives an operator information to travel a route from a remote management module, receives current route information for the route from a mapping application in response to the operator information, measures current vehicle status information for the hybrid vehicle, and decides a power management strategy for the vehicle based on the current route information and the current vehicle status information.
1 . A drive system for a hybrid vehicle comprising:
a powertrain comprising an engine, an electric motor, and an energy storage device electrically coupled to the electric motor; and
an optimizer module operatively coupled to the powertrain, the optimizer module configured to:
receive, from a remote management module, operator information to travel a route;
receive, from a mapping application in response to the operator information, current route condition information for the route;
measure current vehicle status information for the hybrid vehicle;
decide a power management strategy for the hybrid vehicle based on the current route condition information and the current vehicle status information, the power management strategy including a brake blending level for the hybrid vehicle; and
adjust regenerative braking of the hybrid vehicle according to the brake blending level of the power management strategy.
2 . The drive system of claim 1 , wherein the current route condition information includes an ambient temperature and, according to the brake blending level of the power management strategy, the regenerative braking of the hybrid vehicle is reduced when the ambient temperature is above a temperature threshold.
3 . The drive system of claim 1 , wherein the brake blending level is decided based on the operator information, the operator information includes prior experience of an operator in driving electric vehicles, and, according to the brake blending level of the power management strategy, the regenerative braking of the hybrid vehicle is adjusted based on the prior experience of the operator.
4 . The drive system of claim 1 , wherein the powertrain is configured to control, based on the power management strategy, at least one of: the engine, the electric motor, or the energy storage device of the hybrid vehicle.
5 . The drive system of claim 1 , wherein the current vehicle status information includes at least one of: vehicle type and architecture, vehicle availability, vehicle mass, vehicle mileage, a state of charge (SOC) of the energy storage device and an amount of time to fully recharge the same, a state of health (SOH) of the energy storage device, an amount of fuel in a fuel tank fluidly coupled to the engine and an amount of time to fully refuel the same, or a full range of the hybrid vehicle based on the SOC or the amount of fuel.
6 . The drive system of claim 1 , the optimizer module further configured to provide powertrain proprietary information of the hybrid vehicle to the remote management module after the hybrid vehicle completes traveling the route.
7 . The drive system of claim 6 , wherein the powertrain proprietary information includes at least one of: fuel and energy efficiency information, component life information, fault conditions, or chance of derating of the hybrid vehicle.
8 . The drive system of claim 1 , wherein the current route condition information includes at least one of: speed limit information, road grade information, refueling station location information, charging station location information, traffic information, weather information, terrain information, and zoning information.
9 . The drive system of claim 1 , wherein the optimizer module decides the power management strategy by using online learning from historical data and lookahead data.
10 . A method for operating a hybrid vehicle with a powertrain comprising an engine, an electric motor, and an optimizer module operatively coupled to the powertrain, the method comprising:
receiving, by the optimizer module from a remote management module, operator information to travel a route;
receiving, by the optimizer module from a mapping application in response to the operator information, current route condition information for the route;
measuring, by the optimizer module, current vehicle status information for the hybrid vehicle;
deciding, by the optimizer module, a power management strategy for the hybrid vehicle based on the current route condition information and the current vehicle status information, the power management strategy including a brake blending level for the hybrid vehicle; and
adjusting, by the optimizer module, regenerative braking of the hybrid vehicle according to the brake blending level of the power management strategy.
11 . The method of claim 10 , wherein the current route condition information includes an ambient temperature and, according to the brake blending level of the power management strategy, the regenerative braking of the hybrid vehicle is reduced when the ambient temperature is above a temperature threshold.
12 . The method of claim 10 , wherein the brake blending level is decided based on the operator information, the operator information includes prior experience of an operator in driving electric vehicles, and, according to the brake blending level of the power management strategy, the regenerative braking of the hybrid vehicle is adjusted based on the prior experience of the operator.
13 . The method of claim 10 , further comprising controlling, by the powertrain, at least one of the engine, the electric motor, or an energy storage device coupled to the electric motor of the hybrid vehicle, based on the power management strategy.
14 . The method of claim 10 , wherein the current vehicle status information includes at least one of: vehicle type and architecture, vehicle availability, vehicle mass, vehicle mileage, a state of charge (SOC) of an energy storage device coupled to the electric motor and an amount of time to fully recharge the same, a state of health (SOH) of the energy storage device, an amount of fuel in a fuel tank coupled to the engine and an amount of time to fully refuel the same, or a full range of the hybrid vehicle based on the SOC or the amount of fuel.
15 . The method of claim 10 , further comprising:
providing, by the optimizer module, powertrain proprietary information of the hybrid vehicle to the remote management module after the hybrid vehicle completes traveling the route.
16 . The method of claim 15 , wherein the powertrain proprietary information includes at least one of: fuel and energy efficiency information, component life information, fault conditions, or chance of derating of the hybrid vehicle.
17 . The method of claim 10 , wherein the current route condition information includes at least one of: speed limit information, road grade information, refueling station location information, charging station location information, traffic information, weather information, terrain information, or zoning information.
18 . A vehicle fleet management system comprising:
a plurality of hybrid vehicles, each vehicle comprising an engine with a fuel tank fluidly coupled thereto, an electric motor with an energy storage device electrically coupled thereto, a powertrain operatively coupled to the engine and the electric motor, and an optimizer module operative coupled to the powertrain;
a remote management module operative to:
receive powertrain proprietary information of each of the plurality of hybrid vehicles from the optimizer module,
determine, based on the powertrain proprietary information, which of the plurality of hybrid vehicles to instruct to travel a route, and
transmit operator information to travel the route to the hybrid vehicle that is determined;
the optimizer module of the hybrid vehicle that is determined configured to:
receive, from a mapping application in response to the operator information, current route condition information for the route;
measure current vehicle status information for the hybrid vehicle;
decide a power management strategy for the hybrid vehicle based on the current route condition information and the current vehicle status information, the power management strategy including a brake blending level for the hybrid vehicle; and
adjust regenerative braking of the hybrid vehicle according to the brake blending level of the power management strategy.
19 . The system of claim 18 , wherein the current route condition information includes an ambient temperature and, according to the brake blending level of the power management strategy, the regenerative braking of the hybrid vehicle is reduced when the ambient temperature is above a temperature threshold.
20 . The system of claim 18 , wherein the brake blending level is decided based on the operator information, the operator information includes prior experience of an operator in driving electric vehicles, and, according to the brake blending level of the power management strategy, the regenerative braking of the hybrid vehicle is adjusted based on the prior experience of the operator.