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A hybrid electric vehicle control system and process initiates active charging and power rationing control strategies in accordance with determining that a predicted state of charge of an electrical energy storage unit during an anticipated period of non-driving will be below an anticipated energy c

A hybrid electric vehicle control system and process initiates active charging and power rationing control strategies in accordance with determining that a predicted state of charge of an electrical energy storage unit during an anticipated period of non-driving will be below an anticipated energy consumption during the anticipated period of non-driving. The determination is made, and the active charging and rationing are initiated, in advance of the period of non-driving in order to ensure that a state of charge of the electrical energy storage unit is sufficient to supply the anticipated energy consumption during the period of non-driving.

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1. A control system for use in a commercial hybrid electric vehicle having an internal combustion engine combined with a motor-generator and an electrical energy storage unit, the control system comprising: a control unit configured to control the internal combustion engine and the motor-generator t

1. A control system for use in a commercial hybrid electric vehicle having an internal combustion engine combined with a motor-generator and an electrical energy storage unit, the control system comprising: a control unit configured to control the internal combustion engine and the motor-generator to actively charge the electrical energy storage unit in accordance with a determination that a predicted state of charge of the electrical energy storage unit during an anticipated period of non-driving will be below an anticipated energy consumption by hotel loads during the anticipated period of non-driving. 2. The control system of claim 1, further comprising: a user interface configured to receive user input data,wherein the determination of the control unit is based on the user input data. 3. The control system of claim 1, further comprising: a user interface configured to receive user input data;one or more sensors configured to generate current condition data;a database configured to receive and store the user input data and the current condition data as historical data,wherein the determination of the control unit is based on one or more of: the user input data, the current condition data and the historical data. 4. The control system of claim 1, wherein the control unit is further configured to determine a start time at which to start active charging to ensure that the predicted state of charge of the electrical energy storage unit during the anticipated period of non-driving will not be below the anticipated energy consumption during the anticipated period of non-driving, and to start active charging at the start time. 5. The control system of claim 1, wherein the control unit is further configured to ration usage of electrical energy from the electrical energy storage unit in accordance with the determination by the control unit. 6. The control system of claim 1, wherein the control unit is further configured to calculate the predicted state of charge based on one or more of: a current state of charge, a predicted power consumption until the period of non-driving, and an opportunity for regenerative braking prior to the period of non-driving, as determined based on one or more of: the user input data, the current condition data and the historical data. 7. The control system of claim 1, wherein the hotel loads consist of sleeper berth loads powered by the electrical energy storage unit during periods of non-driving. 8. The control system of claim 1, wherein the determination made by the control unit is periodic. 9. The control system of claim 1, wherein the anticipated energy consumption by hotel loads during the anticipated period of non-driving includes energy required to restart the internal combustion engine when the period of non-driving concludes. 10. A control process for use in a commercial hybrid electric vehicle having an internal combustion engine combined with a motor-generator and an electrical energy storage unit, the control process comprising: determining that a predicted state of charge of the electrical energy storage unit during an anticipated period of non-driving will be below an anticipated energy consumption by hotel loads during the anticipated period of non-driving; andcausing the internal combustion engine and the motor-generator to actively charge the electrical energy storage unit in accordance with the determination. 11. The control process of claim 10, further comprising: receiving user input data via a user interface,wherein the determination is based on the user input data. 12. The control process of claim 10, further comprising: receiving user input data via a user interface;generate current condition data via one or more sensors;storing the user input data and the current condition data in a database as historical data,wherein the determination is based on one or more of: the user input data, the current condition data and the historical data. 13. The control process of claim 10, further comprising: determining a start time at which to start active charging to ensure that the predicted state of charge of the electrical energy storage unit during the anticipated period of non-driving will not be below the anticipated energy consumption during the anticipated period of non-driving; andstart active charging at the start time. 14. The control process of claim 10, further comprising: rationing usage of electrical energy from the electrical energy storage unit in accordance with the determination. 15. The control process of claim 10, further comprising: calculating the predicted state of charge based on one or more of: a current state of charge, a predicted power consumption until the period of non-driving, and an opportunity for regenerative braking prior to the period of non-driving, as determined based on one or more of: the user input data, the current condition data and the historical data. 16. The control process of claim 10, wherein the hotel loads consist of sleeper berth loads powered by the electrical energy storage unit during periods of non-driving. 17. The control process of claim 10, wherein the determination is periodic. 18. The control process of claim 10, wherein the anticipated energy consumption during the anticipated period of non-driving includes energy required to restart the internal combustion engine when the period of non-driving concludes.