State of charge

About: State of charge is a research topic. Over the lifetime, 12013 publications have been published within this topic receiving 201419 citations. The topic is also known as: SoC & SOC.

Control device for hybrid vehicle

Abstract: A hybrid vehicle is provided with an internal combustion engine as a power source and an electric motor The electric motor is used to charge the high-voltage battery Charge/discharge control of the high-voltage battery and an idle-stop control can be performed, taking into account battery deterioration For this purpose, the internal resistance R is detected as a degree of deterioration in the high-voltage battery When the internal resistance R is less than a predetermined resistance R1, a threshold value of a state of charge (SOC) of the high-voltage battery, SOCa above which the idle stop operation permitted is set, fitted to an initial condition wherein the high-voltage battery has not undergone deterioration On the other hand, when the internal resistance R is greater than or equal to the predetermined value R1, the threshold value tSOCa is varied to higher value Further, a target SOC of the high-voltage battery is varied in response to the degree of deterioration of the battery In order to regenerate sufficient inertial energy during deceleration, the target SOC for the high-voltage battery when t he vehicle is not decelerating is set to a lower value than the targetstate of charge when the vehicle is decelerating

Regeneration control for hybrid vehicle

Abstract: Disclosed is a control apparatus for a hybrid vehicle having an engine, a drive motor ( 3 ) that regenerates power, and an electric power storage device ( 6 ) that gives/receives power to/from the drive motor ( 3 ). The control apparatus includes power consumption means ( 2 ) for consuming power; a sensor ( 26, 27 ) that detects a state of charge of the electric power storage device; means ( 18, 23, 51 ) for detecting a driving state of the vehicle; and a controller ( 9 ). The controller ( 9 ) is programmed to calculate a chargeable energy amount Ecap in the electric power storage device ( 6 ) on the basis of a difference between a fully charged state of the electric power storage device and the detected state of charge; set a power |Pgen0| regenerated by the drive motor ( 3 ); calculate a chargeable power Pmax in the electric power storage device according to the detected state of charge; calculate a regenerated energy E resulting from regenerative braking from the detected driving state of the vehicle; calculate a charging power limit Pgenlmt according to the calculated regenerated energy E; and control the power consumption means ( 2 ) to consume a power equal to a difference between the power |Pgen0| regenerated by the drive motor ( 3 ) and the charging power limit |Pgenlmt| when the calculated regenerated energy E is greater than the chargeable energy amount Ecap in the electric power storage device and when the charging power limit |Pgenlmt| is smaller than the chargeable power |Pmax|.

PHIL Implementation of Energy Management Optimization for a Parallel HEV on a Predefined Route

Abstract: Real-time energy management of hybrid electric vehicles (HEVs) is a key point for performing effective fuel economy optimization. Offline methods have been developed for energy management optimization when the drive cycle is known. Online real-time methods can provide good results but can only ensure suboptimal management. In this paper, it is assumed that information about the route is available in advance. Using this knowledge, global optimization methods can be used in real-time control to approach optimal fuel consumption while keeping the state of charge (Soc) of the batteries at a desired level. Such a method is presented in this paper. The developed strategy is implemented in a real-time experiment using the power-hardware-in-the-loop (PHIL) principle. The measured fuel consumption and the obtained battery Soc trajectory demonstrate good performance of the proposed control.