Hybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selection

Abstract

Vehicle thermal management systems of Fully Electric Vehicles bring increased demands on control algorithms to operate the vehicle efficiently. Especially, if there are multiple heat sources and sinks (cabin, batteries, electric drive, thermal energy storage, etc.), it is necessary to select the system operating mode (configuration of actuators), under which the system will operate efficiently with respecting defined constraints and references tracking. This paper brings a novel approach to the decision-making algorithm, which is based on the Hybrid Model Predictive Control and optimally solves the problem with regards to the defined objective function.

Study on Electrical Services and Control for Heating, Ventilation and Air-conditioning in Buildings

“…There is no need to add the Derivative controller in this system since it has a very fast response but most heating system responses are comparatively slow. In other words, the value of Derivative control in most heating system performance is minimal (5). Refer to Figure 6 again.…”

“…Block diagram of the control system is in Figure 6. Despite various types of industrial controllers, this diagram for particular heating system indicates the Proportional -Integral (PI) controller, which transparently means the combination of Proportional controller and Integral controller (5). This feature can be also seen form the equation: u t K e t e t .…”

Integrated Thermal Management of Electric Vehicles Based on Model Predictive Control With Approximated Value Function

“…Compared with real-time MPC algorithms that focus solely on either HVAC systems or battery TMS, there are fewer published works on applications involving the integration of both systems. Glos et al [20] developed a hybrid MPC approach for an EV TMS. For simplicity, the refrigerant system was simplified to a coefficient of performance model that considers the refrigerant temperature.…”

“…Besides the 99 cases, an additional 44 cases were considered as supplemental simulation data to examine the impact of high initial battery temperatures under relatively low ambient temperature circumstances (e.g., the vehicle is launched after fast charging). The initial temperatures for these simulations are shown as follows: [20,20], [40, −10], [40,20], [40,40] The calibrated parameters of (37) using the additional data set are provided in Table 1. The error levels of both calibrations are shown to be similar.…”

Nonlinear optimal control of heat pumps in electric vehicles

“…A significant part of power consumption in electric vehicles is associated with the cooling of their motor and batteries and with temperature control of the passengers' cabin [1][2][3][4]. In this article, it is aimed to solve the problem of optimized thermal management and temperature control of the passengers' cabin in electric vehicles.…”