Abstract: The present invention is a method for determining an optimal speed of a first vehicle preceded by a second vehicle. Position, speed and acceleration of the second vehicle are measured in order to determine a trajectory thereof, and a dynamic model of the first vehicle is constructed. The optimal speed is then determined by minimizing the energy consumption of the vehicle by use of the dynamic model by minimization being constrained by the trajectory of the second vehicle.

Abstract: The invention is a method for determining a speed profile for minimizing emissions of at least one pollutant generated by a vehicle during a journey. The method requires a model of the vehicle dynamics, an analytical model of the emissions of the pollutant, and at least one speed profile model divided into at least two phases, each of the phases corresponding to a traction acceleration mode of the vehicle with a number of acceleration modes preferably being five. Then, a speed profile minimizing the emissions of at least one pollutant is determined by seeking, from speed profiles with respect to the distance, duration, and initial and final speeds of the journey and distinguished by distinct phase durations with the speed profile for which the emissions of the pollutant are modelled is by use of an analytical model for which the pollutants are the lowest.

Abstract: The present invention relates to a method of determining a route (ITI) minimizing the energy consumption of a vehicle, based on the use of a dynamic model (MOD) of the vehicle depending on the vehicle speed and acceleration, the construction of a line graph (GA) and a shortest path algorithm (ALG) suited for negative energies.

Abstract: The present invention relates to a method for determining an optimal speed to be reached for a first vehicle preceded by a second vehicle. For this method, the position, the speed and the acceleration of the second vehicle are measured (MES) in order to determine the trajectory thereof (POS), and a dynamic model (MOD) of the first vehicle is constructed. The speed to be reached (VIT) is then determined by minimizing (MIN) the energy consumption of the vehicle by means of the dynamic model (MOD), the minimization being constrained by the trajectory (POS) of the second vehicle.

Abstract: The present invention relates to a method of determining a route (ITI) minimizing the energy consumption of a vehicle, based on the use of a dynamic model (MOD) of the vehicle depending on the vehicle speed and acceleration, the construction of a line graph (GA) and a shortest path algorithm (ALG) suited for negative energies.

Abstract: The invention relates to a method of determining at least one eco-driving indicator wherein at least a first indicator (IND) is determined as an optimal speed (Vopt) that minimizes the energy consumption. Calculation of optimal speed Vopt is constrained by measured instant speeds Vmes at breakpoints of the travel where the driver has to adapt his driving according to conditions external to the travel. Once the eco-driving indicator is determined, it can be displayed (AFF) and/or the vehicle can be controlled (COM) in accordance with the indicator.

Abstract: The invention relates to a method of determining at least one eco-driving indicator wherein at least a first indicator (IND) is determined as an optimal speed (Vopt) that minimizes the energy consumption. Calculation of optimal speed Vopt is constrained by measured instant speeds Vmes at breakpoints of the travel where the driver has to adapt his driving according to conditions external to the travel. Once the eco-driving indicator is determined, it can be displayed (AFF) and/or the vehicle can be controlled (COM) in accordance with the indicator.

Abstract: The present invention relates to a method of estimating the internal state of an electrochemical system using mathematical models which allow management of an electrochemical battery during operation, and notably estimation of the characteristics of the battery that are not directly measurable. For applications relating to hybrid and electric vehicles, the most significant internal characteristics are the state of charge (SoC), the state of health (SoH) and the thermal state. Reconstruction of the internal characteristics is achieved using mathematical models of the battery. The method can be used synchronously with the operation of the battery itself (real time) with a reduced or off-line mathematical model, for calibration, optimization or validation of management and estimation strategies. The method is useful for battery sizing, which has to be optimized according to the energy and thermal management strategies.

Abstract: The present invention relates to a system for smart management of an electrochemical battery using a method of estimating the internal state of the battery, by use of mathematical models for management of an electrochemical battery during operation thereof, and notably for estimating the characteristics of the battery that are not directly measurable. For applications relative to hybrid and electric vehicles, the most interesting internal characteristics are the state of charge (SoC), the state of health (SoH) and the thermal state. Reconstruction of the internal characteristics is done using mathematical models of the batter.

Abstract: A system for studying a powertrain for a hybrid vehicle equipped with a thermal engine and an electric traction motor is disclosed including a first electric motor (M1), means (S1, S2) for real-time simulation of the operation of the thermal engine and for simulation of the thermal engine control means; and means (PTRI, M2) for reproducing mechanically the engine speed obtained from the simulation means on the rotating shaft of the first electric motor.

Abstract: The present invention relates to a method of estimating the internal state of an electrochemical system using mathematical models which allow management of an electrochemical battery during operation, and notably estimation of the characteristics of the battery that are not directly measurable. For applications relating to hybrid and electric vehicles, the most significant internal characteristics are the state of charge (SoC), the state of health (SoH) and the thermal state. Reconstruction of the internal characteristics is achieved using mathematical models of the battery. The method can be used synchronously with the operation of the battery itself (real time) with a reduced or off-line mathematical model, for calibration, optimization or validation of management and estimation strategies. The method is useful for battery sizing, which has to be optimized according to the energy and thermal management strategies.

Abstract: The present invention relates to a system for smart management of an electrochemical battery using a method of estimating the internal state of the battery, by use of mathematical models for management of an electrochemical battery during operation thereof, and notably for estimating the characteristics of the battery that are not directly measurable. For applications relative to hybrid and electric vehicles, the most interesting internal characteristics are the state of charge (SoC), the state of health (SoH) and the thermal state. Reconstruction of the internal characteristics is done using mathematical models of the batter.