Switching algorithms for extending battery life in Electric Vehicles

Adany, Ron; Aurbach, Doron; Kraus, Sarit

doi:10.1016/j.jpowsour.2012.12.075

Cited by 28 publications

(21 citation statements)

References 19 publications

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“…where (1)- (4) and (6). Then, the following formulas can be obtained: According to the analysis of the electric circuit [20], the electrical characteristics of the model of battery can be described as:…”

Section: Lumped-parameter Model Of the Batterymentioning

confidence: 99%

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A New Method for State of Charge Estimation of Lithium-Ion Batteries Using Square Root Cubature Kalman Filter

et al. 2018

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State of charge (SOC) is a key parameter for lithium-ion battery management systems. The square root cubature Kalman filter (SRCKF) algorithm has been developed to estimate the SOC of batteries. SRCKF calculates 2n points that have the same weights according to cubature transform to approximate the mean of state variables. After these points are propagated by nonlinear functions, the mean and the variance of the capture can achieve third-order precision of the real values of the nonlinear functions. SRCKF directly propagates and updates the square root of the state covariance matrix in the form of Cholesky decomposition, guarantees the nonnegative quality of the covariance matrix, and avoids the divergence of the filter. Simulink models and the test bench of extended Kalman filter (EKF), Unscented Kalman filter (UKF), cubature Kalman filter (CKF) and SRCKF are built. Three experiments have been carried out to evaluate the performances of the proposed methods. The results of the comparison of accuracy, robustness, and convergence rate with EKF, UKF, CKF and SRCKF are presented. Compared with the traditional EKF, UKF and CKF algorithms, the SRCKF algorithm is found to yield better SOC estimation accuracy, higher robustness and better convergence rate.

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Section: Lumped-parameter Model Of the Batterymentioning

confidence: 99%

“…Governments all over the world have introduced a variety of incentives to reduce pollutant emissions and greenhouse gas emissions [2][3][4][5][6]. Since transportation consumes a large amount of energy, it is necessary to develop and utilize electric vehicles (EVs) to realize green mobility.…”

Section: Introductionmentioning

confidence: 99%

A New Method for State of Charge Estimation of Lithium-Ion Batteries Using Square Root Cubature Kalman Filter

et al. 2018

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“…Research revealed that with fast charging ten-minute period, be able to move the vehicles for one hundred mile and ability to provide enough energy in battery packs of EV. Thus, with the aim of to lengthen the batteries lifespan it is important of the BMS in the EVs playing the vital roles as a component device to control the operation of the battery's [10]. Also very important for BMS to well-maintained the battery reliability and safety, ensure the state monitoring and evaluation, cell balancing and charge control are well functional.…”

Section: Battery and Battery Management Systemmentioning

confidence: 99%

Development of battery management systems (BMS) for electric vehicles (EVs) in Malaysia

et al. 2016

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Abstract. Battery Management Systems (BMS) is an electronic devices component, which is a vital fundamental device connected between the charger and the battery of the hybrid or electric vehicle (EV) systems. Thus, BMS significantly enable for safety protection and reliable battery management by performing of monitoring charge control, state evaluation, reporting the data and functionalities cell balancing. To date, 97.1% of Malaysian CO 2 emissions are mainly caused by transportation activities and the numbers will keep rising as numbers of registered car increase close up to 1 million yearly; double the amounts in the last two decades. The uncertainty of a battery's performance poses a challenge to predict the extended range of EVs, which need BMS implementation of optimization of optimum power management. Hence, using MATLAB/SIMULINK software is one of the potential methods of BMS optimization with power generated by Hybrid Energy Storage system of lithium-ion battery. Therefore, this paper address through reviewing previous literatures initially focuses on the BMS optimization for EVs (car) in Malaysia as prognostic technology model improvement on performance management of EVs.

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“…In particular, electric vehicles (EVs) are advantageous over other new energy vehicles in the following ways: no fuel consumption, reduced daily traveling costs, and little noise [5]. Batteries are common among all of the energy storage systems (ESSs) used in EVs [1], [6]- [8]. However, the power density of a battery should be adequately high to meet peak power demand.…”

Section: Introductionmentioning

confidence: 99%

Compound-Type Hybrid Energy Storage System and Its Mode Control Strategy for Electric Vehicles

Wang¹,

Cao²,

Li³

et al. 2015

Journal of Power Electronics

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This paper proposes a novel compound-type hybrid energy storage system (HESS) that inherits the unique advantages of both battery/supercapacitor (SC) and the SC/battery HESSs for electric vehicles (EVs). Eight operation modes are designed to match this system. A mode control strategy is developed for this HESS on the basis of these modes, and five classes of operation modes are established to simplify this strategy. The mode control strategy focuses on high operating efficiency and high power output. Furthermore, the compound-type HESS is designed such that the SC is the main priority in braking energy absorption. Thus, this HESS can operate efficiently and extend battery life. Simulation results also show that the compound-type HESS can not only supply adequate power to the motor inverter but can also determine suitable operation modes in corresponding conditions. Experimental results demonstrate that this HESS can extend battery life as well. The overall efficiency of the compound-type HESS is higher than those of the battery/SC and the SC/battery HESSs.

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Switching algorithms for extending battery life in Electric Vehicles

Cited by 28 publications

References 19 publications

A New Method for State of Charge Estimation of Lithium-Ion Batteries Using Square Root Cubature Kalman Filter

A New Method for State of Charge Estimation of Lithium-Ion Batteries Using Square Root Cubature Kalman Filter

Development of battery management systems (BMS) for electric vehicles (EVs) in Malaysia

Compound-Type Hybrid Energy Storage System and Its Mode Control Strategy for Electric Vehicles

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