Thermal management systems for electric vehicles

Abstract

The present invention relates to a thermal management system for an electric vehicle with various defined components related to thermal management, in particular a high-voltage store and an electric machine, comprising at least one thermal module for each defined component, controllable by a control module, comprising a navigation system and at least one electronic control unit having a control module and a prediction module, the thermal management system being capable of detecting, during the journey, the following conditions by suitable configuration of the prediction module: - based on a plurality of thermal management-related data of the navigation system acquired during a set period, at least one historical heating or cooling action progression (heating or cooling action progression) related to the route section is identified over time; - during the same set period, historical temperature trends over time (temperature trends) are acquired for each component by sensors, which relate to the route section, - determining at least one predicted heating or cooling progression associated with a route segment based on predictable thermal management related data of the navigation system for at least one defined horizon; A predicted temperature transition is calculated for each component based on the historical heating or cooling action over time, the historical temperature transition over time, and the predicted heating or cooling action over time.

Claims

1. A thermal management system for an electric vehicle equipped with various defined components related to thermal management (K1, K2; HV, EM), particularly a high-voltage storage unit (HV) and an electromechanical unit (EM), In a thermal management system comprising at least one thermal module (TM_HV, TM_EM) controllable by a control module ("agent") for each defined component (HV, EM), a navigation system (NAV), and at least one electronic control unit (SE) having the control module ("agent") and a prediction module (PM), With an appropriate configuration of the aforementioned prediction module (PM), - Based on multiple thermal management-related data (State NAV_hist) of the navigation system (NAV) as route attributes of the electric vehicle's driving route during the set period, at least one historical time-series progression of heating or cooling action (1) related to the route section is identified. - During the same set period, the time-series temperature changes (2) related to the route section are acquired by the sensor for each component (HV, EM), - For at least one set predictive horizon (H1, H2), based on the predictable thermal management-related data (State NAV_praed) of the navigation system (NAV) as route attributes of the electric vehicle's driving route across the set predictive horizon, at least one predicted progression of heating or cooling (3) related to the route section is identified. - By inputting the time-series progression of heating or cooling action based on the aforementioned history (1), the time-series temperature progression for each component (HV, EM) based on the aforementioned history (2), and the predicted progression of heating or cooling action (3), the predicted temperature progression (4) is obtained for each component (HV, EM). The control module ("agent") is configured to develop a better learned policy that generates a control intervention ("behavior") for each component (HV, EM) by using a reinforcement learning approach, based at least on a subsequent state (State St+1) that includes the input signal of the temperature of each component and the reward function (r t+1) of the temperature of each component. Thermal management system.

2. A thermal management system according to claim 1, characterized in that when determining the predicted transition of heating or cooling (3), the predicted self-heating of each of the components (HV, EM) is also taken into consideration.

3. A thermal management system according to claim 1 or 2, characterized in that the predicted temperature progression (4) for each component (HV, EM) is determined in the form of a probability distribution (W).

4. In the thermal management system according to claim 1 or 2, by appropriately configuring the control module ("agent"), a stored heating and / or cooling threshold (T) for controlling the thermal module (TM_HV, TM_EM) of the components (HV, EM) is provided. ｈｖｓ _ Ｓ , T ｅｍ _ Ｓ A thermal management system characterized in that the temperature can be changed in proportion to the predicted temperature trend (4).

5. An electronic control unit (SE) for a thermal management system according to claim 1 or 2.

6. A vehicle equipped with the thermal management system according to claim 1 or 2.

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