US5820172A — Method for controlling energy flow in a hybrid el…

Claim 1

Independent Claim 328 words

An optimal, adaptive method for controlling energy flow in a hybrid electric vehicle (HEV) having a main power unit (HPU) and a supplementary bi-directional energy storage system (ESS) to satisfy power demand for vehicle propulsion and auxiliary systems and to maintain state of charge (SOC) of said ESS within a selected range while minimizing fuel consumption, comprising the steps of: making an initial estimate of an equivalent amount of fuel to be associated with energy stored in said ESS; determining motive demand power (MDP) of said vehicle; determining an effective power dependent fuel consumption rate for withdrawal of energy from said ESS using known output characteristics of said ESS and the effective fuel value of the energy stored in said ESS; scanning possible combinations of HPU and ESS output power that satisfy MDP; selecting the combination of HPU and ESS output power providing the lowest fuel cost, said fuel cost being the sum of HPU fuel consumption and effective ESS fuel consumption; determining whether the lowest fuel cost combination requires energy from both the HPU and ESS; satisfying MDP and decrementing the fuel value of ESS energy at a rate proportional to the rate of energy withdrawal when the lowest fuel cost combination requires energy from both the HPU and ESS; determining whether the ESS should be charged; operating the HPU at a power level higher than the power demand chosen so as to minimize the fuel cost of energy delivered to and stored in the ESS and incrementing the fuel value associated with energy stored in the ESS at a rate proportional to the rate of fuel usage of the HPU multiplied by the fraction of HPU output diverted to the ESS when the ESS should be charged; and satisfying MDP with the lowest fuel cost combination of HPU and ESS energy and decrementing the fuel value of ESS energy at a rate proportional to the rate of energy withdrawal when the ESS should not be charged.

Claim 2

Dependent Claim 328 words

An optimal, adaptive method for controlling energy flow in a hybrid electric vehicle (HEV) having a main power unit (HPU) and a supplementary bi-directional energy storage system (ESS) to satisfy power demand for vehicle propulsion and auxiliary systems and to maintain state of charge (SOC) of said ESS within a selected range while minimizing fuel consumption, comprising the steps of: making an initial estimate of an equivalent amount of fuel to be associated with energy stored in said ESS; determining motive demand power (MDP) of said vehicle; determining an effective power dependent fuel consumption rate for withdrawal of energy from said ESS using known output characteristics of said ESS and the effective fuel value of the energy stored in said ESS; scanning possible combinations of HPU and ESS output power that satisfy MDP; selecting the combination of HPU and ESS output power providing the lowest fuel cost, said fuel cost being the sum of HPU fuel consumption and effective ESS fuel consumption; determining whether the lowest fuel cost combination requires energy from both the HPU and ESS; satisfying MDP and decrementing the fuel value of ESS energy at a rate proportional to the rate of energy withdrawal when the lowest fuel cost combination requires energy from both the HPU and ESS; determining whether the ESS should be charged; operating the HPU at a power level higher than the power demand chosen so as to minimize the fuel cost of energy delivered to and stored in the ESS and incrementing the fuel value associated with energy stored in the ESS at a rate proportional to the rate of fuel usage of the HPU multiplied by the fraction of HPU output diverted to the ESS when the ESS should be charged; and satisfying MDP with the lowest fuel cost combination of HPU and ESS energy and decrementing the fuel value of ESS energy at a rate proportional to the rate of energy withdrawal when the ESS should not be charged.

Claim 3

Dependent Claim 42 words

The method of claim 1, including the step of storing regenerative braking energy in the ESS and incrementing the fuel value of energy in the ESS at a rate equivalent to that of ESS charging from the HPU at its peak efficiency.

Claim 4

Dependent Claim 27 words

The method of claim 2, including the step of reducing the fuel value of regenerated energy to assure complete consumption of the regenerated energy in future driving.

Claim 5

Dependent Claim 12 words

The method of claim 1, wherein the MDP is instantaneous demand power.

Claim 6

Dependent Claim 21 words

The method of claim 1, wherein the step of determining MDP includes averaging instantaneous motive power over an integration time period.

Claim 7

Dependent Claim 26 words

The method of claim 1, including the step of charging said ESS at a higher than optimal charge rate when SOC is below said selected range.

Claim 8

Dependent Claim 49 words

The method of claim 1, including the step of replacing the fuel cost associated with stored energy with a weighted sum thereby allowing adaptive minimization of the weighted total cost of driving the HEV, said weighted sum including costs from a group containing mechanical wear costs and emission costs.

Claim 9

Dependent Claim 30 words

The method of claim 7, including the step of varying individual weight of selected components of said weighted sum and determining the fuel economy value of reduction of other components.

Claim 10

Dependent Claim 137 words

The method of claim 1, including the step of determining the fuel value of stored energy by estimation or computational means other than storing regenerative braking energy in the ESS and incrementing the fuel value of energy in the ESS at a rate equivalent to that of ESS charging from the HPU at its peak efficiency; reducing the fuel value of regenerated energy to assure complete consumption of the regenerated energy in future driving; replacing the fuel cost associated with stored energy with a weighted sum thereby allowing adaptive minimization of the weighted total cost of driving the HEV wherein said weighted sum includes costs from a group containing mechanical wear costs and emission costs; or varying individual weight of selected components of said weighted sum and determining the fuel economy value of reduction of other components.

Claim 11

Dependent Claim 224 words

A near optimal, nonadaptive method for controlling energy flow in a hybrid electric vehicle (HEV) having a main power unit (HPU) and a supplementary bidirectional energy storage system (ESS) to satisfy power demand for vehicle propulsion and auxiliary systems and to maintain state of charge (SOC) of said ESS within a selected range, said method comprising the steps of: selecting a motive power threshold (MPT); determining motive power demand (MDP) of said vehicle; determining whether the ESS SOC is below a critical value lower than a lower end of said selected range for normal operation; operating the vehicle with the HPU on while charging the ESS at a higher than optimal rate when the ESS SOC is below the critical value; determining whether the ESS should be charged when the ESS SOC is not below the critical value; operating the vehicle on energy stored in the ESS alone when the ESS should not be charged; determining whether MDP is less than MPT when the ESS should be charged and operating the HPU at a constant output power equal to MPT when MDP is less than MPT; and determining whether MDP is less than MPT when the ESS should be charged and operating the HPU in a load following mode where the HPU power is equal to MDP when MDP is not less than MPT.

Claim 12

Dependent Claim 224 words

A near optimal, nonadaptive method for controlling energy flow in a hybrid electric vehicle (HEV) having a main power unit (HPU) and a supplementary bidirectional energy storage system (ESS) to satisfy power demand for vehicle propulsion and auxiliary systems and to maintain state of charge (SOC) of said ESS within a selected range, said method comprising the steps of: selecting a motive power threshold (MPT); determining motive power demand (MDP) of said vehicle; determining whether the ESS SOC is below a critical value lower than a lower end of said selected range for normal operation; operating the vehicle with the HPU on while charging the ESS at a higher than optimal rate when the ESS SOC is below the critical value; determining whether the ESS should be charged when the ESS SOC is not below the critical value; operating the vehicle on energy stored in the ESS alone when the ESS should not be charged; determining whether MDP is less than MPT when the ESS should be charged and operating the HPU at a constant output power equal to MPT when MDP is less than MPT; and determining whether MDP is less than MPT when the ESS should be charged and operating the HPU in a load following mode where the HPU power is equal to MDP when MDP is not less than MPT.

Claim 13

Dependent Claim 12 words

The method of claim 10, wherein the MDP is instantaneous demand power.

Claim 14

Dependent Claim 21 words

The method of claim 10, wherein the step of determining MDP includes averaging instantaneous motive power over an integration time period.

Claim 15

Dependent Claim 19 words

The method of claim 10, including the step of adjusting MPT for optimal fuel economy under various driving conditions.

Claim 16

Dependent Claim 17 words

The method of claim 10, including the step of continuously determining the fuel value of stored energy.

Claim 17

Dependent Claim 31 words

The method of claim 10, including the step of determining MPT from the efficiency characteristics of the HPU and ESS, and an external estimate of the fuel value of ESS energy.

Claim 18

Dependent Claim 83 words

The method of claim 15, including the step of charging said ESS in a load following mode by operating the HPU at power level higher than the power demand chosen so as to minimize the fuel cost of energy delivered to and stored in the ESS and by incrementing the fuel value associated with energy stored in the ESS at a rate proportional to the rate of fuel usage of the HPU multiplied by the fraction of HPU output diverted to the ESS.

Claim 19

Dependent Claim 30 words

The method of claim 10, including the step of determining MPT from the efficiency characteristics of the HPU and ESS, and a running estimate of fuel value of stored energy.

Claim 20

Dependent Claim 30 words

The method of claim 10, including the step of charging said ESS in a load following mode by operating the HPU at power level a predetermined amount higher than MDP.

Claim 21

Dependent Claim 22 words

The method of claim 10, including the step of minimizing fuel consumption by sweeping the value of MPT over the selected range.

Claim 22

Dependent Claim 28 words

The method of claim 10, including the step of adjusting MDP averaging time and MPT and holding HPU cycling frequency and associated restart fuel penalty within predetermined limits.

Claim 23

Dependent Claim 27 words

The method of claim 10, including the step of reaching an optimal compromise between fuel economy and HPU cycling frequency by adjusting MDP averaging time and MPT.

Annuity Stage	Window Opens	Payment Deadline	Surcharge Period Until	Estimated Fee	Status
3.5 Years (Year 4)	2001-10-12	2002-04-13	2002-10-13	$2000.00	Window Closed / Lapsed
7.5 Years (Year 8)	2005-10-12	2006-04-13	2006-10-13	$3760.00	Window Closed / Lapsed
11.5 Years (Year 12)	2009-10-12	2010-04-13	2010-10-13	$7700.00	Window Closed / Lapsed

Method for controlling energy flow in a hybrid electric vehicle

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