The heat dissipation performance of batteries is crucial for electric vehicles, and unreasonable thermal management strategies may lead to reduced battery efficiency and safety issues. Therefore, this paper proposed an optimization strategy for battery thermal management systems (BTMS) based on linear time-varying model …
Electric vehicles running at low temperature causes range anxiety and safety hazards because of the reduction of available battery capacity and battery degradation caused by lithium plating. An optimization strategy for low temperature heating of intelligent-connected electric vehicle battery pack is proposed in this paper. Based on …
To forecast battery temperature and to control thermal performance, researchers are increasingly using machine and deep learning approaches. Existing …
As the temperature has a great effect on the cycle life and capacity of power battery on electric vehicles (EVs), a practical battery thermal management (BTM) …
Fig. 12 (a) shows T b, 1 and T b, 8 of AMESim model and lumped thermal model at NEDC and the coolant velocity is 0. 5 m/s.When the load current is low, the values of T b, 1 and T b, 8 rise slowly. With the increase …
and = #=1 * * * # # # + #, # =, = = # # # + * * * @ # ## + * * * @ ...
The significance of employing control strategies on a switched reluctance motor (SRM) is that they can reduce vibration noise and torque ripple. With the rapid development of digital system processors, predictive control (PC), as a modern control approach, is increasingly applied to enhance the dynamic performance and operational …
To address above issues, this study builds an integrated EVTMS model and corresponding controllers, aiming to obtain superior battery temperature and cabin …
Jeffs et al. [25] implemented DP based optimal control for minimizing energy consumption of HVAC, battery power consumption, and cabin temperature regulation. Liu et al. [23] developed a MPC for ...
an approximate model reflective of the relatively slow battery temperature dynamics are leveraged to minimize energy con-sumption required for battery cooling while …
Lithium-ion (Li-ion) batteries play a substantial role in portable consumer electronics, electric vehicles and large power energy storage systems. For Li-ion batteries, developing an optimal charging algorithm that simultaneously takes rises in charging time and charging temperature into account is essential. In this paper, a model predictive …
To utilize the maximum performance of the battery while ensuring its thermal safety, a battery thermal management system is used to control the battery maximum temperature within a safe range. This paper centres on the establishment of a temperature prediction model and the development of the nonlinear-based model …
The control effect of the fuzzy-PID dual-layer coordinated controller is numerically evaluated, and the results show that it can maintain the average temperature of the Li-ion battery pack in the ...
Abstract. Energy management plays a critical role in electric vehicle (EV) operations. To improve EV energy efficiency, this paper proposes an effective model predictive control (MPC)-based energy management strategy to simultaneously control the battery thermal management system (BTMS) and the cabin air conditioning (AC) …
Abstract. This paper presents a novel real-time energy management strategy (EMS) for plug-in hybrid electric vehicles (PHEVs), which combines the adaptive neuro-fuzzy inference system (ANFIS) and the model predictive control (MPC). A two-objective EMS with two state variables is defined by integrating the battery aging and fuel …
A control-oriented nonlinear battery thermal model is established for predicting temperature changes in thermal management system. The dynamic programming algorithm is utilized …
Predictive Control (MPC) strategy for battery thermal and en-ergy management of electric vehicle (EV), aiming at improving ... battery temperature at a specified level, without consider-ing the traffic information. A setpoint within the optimal temperature range of ...
Electric vehicle thermal management system (EVTMS) is essential for electric vehicles (EVs) to guarantee cabin thermal comfort and battery appropriate temperature. However, under low-temperature driving conditions, heating power demand for EVTMS affects ...
This chapter describes the application of Pontryagin’s Maximum Principle and Dynamic Programming for vehicle drivingwith minimum fuel consumption. The focus is on minimum-fuel accelerations. For the fuel consumption modeling, a six …
To avoid increasing the calculation cost, the surface temperature and core temperature of the battery are described as intermediate variables of the thermal characteristics of the battery. The electrothermal degradation cost of the battery is written into the Hamiltonian function, and the energy distribution problem is solved by the …
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