Abstract: The present invention relates to a method of determining the probability that a statistical model describes the driving style or usage of a vehicle observed. By identifying an appropriate statistical model, the driving style can be detected and vehicle operation can be optimized. The method may be applied to both hybrid and non-hybrid vehicles. The method may also be augmented to determine the most probable statistical model of the usage of the vehicle. This allows detection of driving styles that can be classified as urban, highway, aggressive, etc. For example, the augmented method can be used to distinguish between highway and urban driving with a very high certainty.

Abstract: A method for determining a state of charge (SOC) or state of health (SOH) of a battery system includes performing a first step. The first step includes determining a set of initial values for parameters, coefficients, and derivatives based upon linear functional relationships. A result is computed based on the determination. After execution of the first step, intermediate functions are calculated based on the result. The parameters are updated based on the intermediate functions. An open circuit voltage VOC that has a functional relationship with a voltage-based SOC (SOCV) is determined based on the updated parameters. The SOCV is extracted by inverting an expression of VO(SOCV). A current based SOC (SOCC) is calculated. A weight for weighting the SOCC and the SOCV is calculated. A SOC is calculated based on the weight. VO is a battery voltage.

Abstract: A method for determining a voltage based or current based state of charge (SOC) and state of health (SOH) of a battery system is provided. The method includes: providing a model of the battery system including an equivalent circuit having both low frequency and high frequency elements; establishing a plurality of functional relationships comprising relationship of the equivalent circuit with SOC; reducing at least part of the plurality of functional relationships into a set of time segmented recursive functional relationships, wherein a state at a first time t can be modeled by a functional presentation of a state at a second time t??t that occurred before the first time t; and computing a set of data points based upon the set of time segmented recursive functional relationships using a matrix for operation in matrix algebra.

Abstract: A method for estimating an electrical measurement, such as a current or a voltage, comprises generating an analog electrical measurement signal using a sensor. An analog filter filters the analog electrical measurement signal. An A/D converter samples the analog signal and generates a digital electrical measurement signal. A matrix is formed based on the characteristics of the analog filter. An estimated actual current or voltage is calculated based on a relationship between the digital signal and the matrix.

Abstract: A method of estimating a state of charge (SOC) and a state of health (SOH) of an electrochemical cell (EC) includes modeling the EC with a linear equation, measuring a terminal current of the EC, measuring a terminal voltage of the EC and measuring a temperature of the EC. The linear equation is processed through a time-varying state and parameter estimator based on the terminal current, the terminal voltage and the temperature to determine states and parameters of the EC.

Abstract: A state of charge estimator for a battery includes a meter that generates a terminal voltage signal of the battery and a terminal current signal of the battery. A controller employs a linearized model of the battery and a time-varying state estimator. The controller process a synthesized input based on the terminal current and the terminal voltage to estimate the battery state of charge.