A method for improving startability of a vehicle is provided, the vehicle being provided with a prime mover and a kinetic energy recuperation system. The prime mover is adapted to propel the vehicle either alone or in combination with the kinetic energy recuperation system which is operably coupled to the prime mover and to wheels of the vehicle and is adapted to store energy at times when there is an abundance of energy and to use energy at times when there is a demand for energy. A vehicle is also provided. The method includes determining that the vehicle is standing still or essentially standing still; detecting a take-off assistance condition; detecting a level of energy in the kinetic energy recuperation system; if the level of energy is found insufficient, connecting the prime mover to the kinetic energy recuperation system and running the prime mover such that energy from the prime mover is stored in the kinetic energy recuperation system; and when a driver requests the vehicle to take off, running the prime mover and consuming energy from the kinetic energy recuperation system such that the wheels of the vehicle initiate propelling thereof.

A method for improving startability of a vehicle is provided, the vehicle being provided with a prime mover and a kinetic energy recuperation system. The prime mover is adapted to propel the vehicle either alone or in combination with the kinetic energy recuperation system which is operably coupled to the prime mover and to wheels of the vehicle and is adapted to store energy at times when there is an abundance of energy and to use energy at times when there is a demand for energy. A vehicle is also provided. The method includes determining that the vehicle is standing still or essentially standing still; detecting a take-off assistance condition; detecting a level of energy in the kinetic energy recuperation system; if the level of energy is found insufficient, connecting the prime mover to the kinetic energy recuperation system and running the prime mover such that energy from the prime mover is stored in the kinetic energy recuperation system; and when a driver requests the vehicle to take off, running the prime mover and consuming energy from the kinetic energy recuperation system such that the wheels of the vehicle initiate propelling thereof.

A vehicle includes: an electric motor; a storage battery configured to supply electric power to the electric motor and be charged with electric power from an external power source; an internal combustion engine configured to rotate the electric motor; and a controller configured to perform an electric power generation control and a prohibition control, the internal combustion engine being prohibited in a case where the vehicle is positioned in a predetermined region, wherein the electric power stored in the storage battery is suppliable to an outside, and the controller is configured to permit driving of the internal combustion engine even in the predetermined region in a case where a supply of electric power is insufficient for an electric power demand in the predetermined region or in a case where the supply of the electric power is predicted to be insufficient for the electric power demand in the predetermined region.

A vehicle includes: an electric motor; a storage battery configured to supply electric power to the electric motor and be charged with electric power from an external power source; an internal combustion engine configured to rotate the electric motor; and a controller configured to perform an electric power generation control and a prohibition control, the internal combustion engine being prohibited in a case where the vehicle is positioned in a predetermined region, wherein the electric power stored in the storage battery is suppliable to an outside, and the controller is configured to permit driving of the internal combustion engine even in the predetermined region in a case where a supply of electric power is insufficient for an electric power demand in the predetermined region or in a case where the supply of the electric power is predicted to be insufficient for the electric power demand in the predetermined region.

An apparatus includes an energy storage circuit, an input circuit, and a hybrid management circuit. The energy storage circuit is structured to receive a state of charge (SOC) and a state of health (SOH) of an energy storage device. The input circuit is structured to receive an indication of a torque demand. The hybrid management circuit is structured to determine a first torque output for a genset including an engine and a first motor-generator based on the torque demand and the SOC of the energy storage device; determine an adjustment factor based on the SOH of the energy storage device; determine an adjusted torque output for the genset based on the adjustment factor and the first torque output; operate the genset to provide the adjusted torque output and to generate an amount of energy; and operate a second motor-generator at a second torque output to meet the torque demand.

An apparatus includes an energy storage circuit, an input circuit, and a hybrid management circuit. The energy storage circuit is structured to receive a state of charge (SOC) and a state of health (SOH) of an energy storage device. The input circuit is structured to receive an indication of a torque demand. The hybrid management circuit is structured to determine a first torque output for a genset including an engine and a first motor-generator based on the torque demand and the SOC of the energy storage device; determine an adjustment factor based on the SOH of the energy storage device; determine an adjusted torque output for the genset based on the adjustment factor and the first torque output; operate the genset to provide the adjusted torque output and to generate an amount of energy; and operate a second motor-generator at a second torque output to meet the torque demand.

An apparatus, method and system are disclosed, relating to a dual-chemistry battery subsystem having different battery chemistries and performance properties, and relating to an algorithm of charging and discharging the battery subsystem. For an EV application, the battery subsystem is a tailored solution that combines two different battery configurations, a first battery configuration and a second battery configuration, to satisfy the unique needs of different driving modes and performance profiles of an EV, such as a typical workday commute versus an occasional extended range trip on the weekend. The present disclosure provides intelligent control and heuristics to maximize useful energy on a wide variety of battery applications.

A hybrid vehicle includes a drive train, an electrical energy source coupled to the drive train and electrically connected to an electric energy storage device having a state-of-charge, and a non-electrical energy source coupled to the drive-train. A convexification model for the vehicle is used for determining at least one control parameter for operating the vehicle. By applying a convex approach for forming the at least one control parameter it is possible to be sure that the at least one control parameter in fact is a presently optimized parameter. Furthermore, the convex approach minimizes the computational resources necessary for determining the at least one control parameter. The use of a minimal amount of computational resources is specifically desirable in relation to a vehicle on-board solution, typically implementing real-time, continuous, calculations of the at least one control parameter. A corresponding method and computer program product are also provided.

A hybrid vehicle includes a drive train, an electrical energy source coupled to the drive train and electrically connected to an electric energy storage device having a state-of-charge, and a non-electrical energy source coupled to the drive-train. A convexification model for the vehicle is used for determining at least one control parameter for operating the vehicle. By applying a convex approach for forming the at least one control parameter it is possible to be sure that the at least one control parameter in fact is a presently optimized parameter. Furthermore, the convex approach minimizes the computational resources necessary for determining the at least one control parameter. The use of a minimal amount of computational resources is specifically desirable in relation to a vehicle on-board solution, typically implementing real-time, continuous, calculations of the at least one control parameter. A corresponding method and computer program product are also provided.

According to a control method for a hybrid vehicle that is caused to run by a drive motor as a load being supplied with electric power of a battery and electric power generated by an electric generator, a total distance to empty is calculated on the basis of a shortage of a generating power output of the electric generator with respect to a required running power output and an amount of charge remaining in the battery. Specifically, a length of time for which the shortage of the generating power output of the electric generator with respect to the required running power output is covered by the amount of charge remaining in the battery is calculated, and a distance that the hybrid vehicle can run for this length of time is set as a total distance to empty.