A battery modular multilevel management system (BM3) for electric vehicles and stationary energy storage systems

Helling, Florian; Götz, Stefan; Weyh, Thomas

doi:10.1109/epe.2014.6910821

Cited by 21 publications

(18 citation statements)

References 10 publications

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“…e possibility of the real voltage in di erent PDFs is expressed in (24). (4) e weights are given in (25), which is the combination of steps 2 and 3.…”

Section: Unscented Kalman Filtermentioning

confidence: 99%

“…Li-ion battery based energy storage technology has become a key enabler of power grids grid and electric transportation sector objectives due to their bene cial properties [1]. Technical challenges that arise in ensuring safe, reliable, and durable operation of Li-ion batteries for both stationary and vehicular applications demanding large amounts of energy and power, have pushed the limit of battery technology and require development of sophisticated battery management system (BMS) [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

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Online State of Charge Estimation of Lithium-Ion Cells Using Particle Filter-Based Hybrid Filtering Approach

2020

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Filtering based state of charge (SOC) estimation with an equivalent circuit model is commonly extended to Lithium-ion (Li-ion) batteries for electric vehicle (EV) or similar energy storage applications. During the last several decades, different implementations of online parameter identification such as Kalman filters have been presented in literature. However, if the system is a moving EV during rapid acceleration or regenerative braking or when using heating or air conditioning, most of the existing works suffer from poor prediction of state and state estimation error covariance, leading to the problem of accuracy degeneracy of the algorithm. On this account, this paper presents a particle filter-based hybrid filtering method particularly for SOC estimation of Li-ion cells in EVs. A sampling importance resampling particle filter is used in combination with a standard Kalman filter and an unscented Kalman filter as a proposal distribution for the particle filter to be made much faster and more accurate. Test results show that the error on the state estimate is less than 0.8% despite additive current measurement noise with 0.05 A deviation.

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“…e possibility of the real voltage in di erent PDFs is expressed in (24). (4) e weights are given in (25), which is the combination of steps 2 and 3.…”

Section: Unscented Kalman Filtermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Online State of Charge Estimation of Lithium-Ion Cells Using Particle Filter-Based Hybrid Filtering Approach

2020

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“…A modularization of the battery pack with individually controllable loads can enable a more individual dis-/charge for a higher utilization. There are various concepts being researched on how to modularize battery packs: direct, active interconnections [11], separate DC/DC converters for each module [12], or various multilevel converter designs [13]. For electric vehicles (EV), multilevel converters have been especially looked upon as an alternate topology compared to conventional two-level inverters, since they do not require additional hardware besides the inverter and offer a big benefit for the efficiency [14][15][16].…”

Section: Of 19mentioning

confidence: 99%

Optimization of a Cascaded H-Bridge Inverter for Electric Vehicle Applications Including Cost Consideration

et al. 2019

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This paper presents a method to find the optimal configuration for an electric vehicle energy storage system using a cascaded H-bridge (CHB) inverter. CHB multilevel inverters enable a better utilization of the battery pack, because cells/modules with manufacturing tolerances in terms of capacity can be selectively discharged instead of being passively balanced by discharging them over resistors. The balancing algorithms have been investigated in many studies for the CHB topology. However, it has not yet been investigated to which extend a conventional pack can be modularized in a CHB configuration. Therefore, this paper explores different configurations by simulating different switch models, switch configurations, and number of levels for a CHB inverter along with a reference load model to find the optimal design of the system. The configuration is also considered from an economically point of view, as the most efficient solution might not be cost-effective to be installed in a common production vehicle. It is found that four modules per phase give the best compromise between efficiency and costs. Paralleling smaller switches should be preferred over the usage of fewer, larger switches. Moreover, selecting specific existing components results in higher savings compared to theoretical optimal components.

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“…With the system it is possible to establish either serial or parallel connections between neighboring cells or to bypass a cell [2]. The Battery management system experiment is most interesting because of its advantage that is it can be applied at dangerous area unreachable.…”

mentioning

confidence: 99%

“…Previous research has been done on the control system of battery to establish serial or parallel connection between neighboring cells or to bypass a cell [2]. And Enhanced and Efficient Battery maintenance [5], but nevertheless implement the approach on a real time system especially electric vehicle.…”

mentioning

confidence: 99%

Battery management system via bus network for multi battery electric vehicle

Artakusuma

Afrisal

Cahyadi

et al. 2014

2014 International Conference on Electrical Engineering and Computer Science (ICEECS)

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This paper proposes multi-battery design of battery management control using bus communication method based on loop shaping. The experiment of proposed method shows that the capacity dynamics of battery has been improved. The multiple of battery control system is implemented in electric vehicle's model, and we modify the origin control system using bus communication method auto tuning based on loop shaping. The result of modified control system using bus method based on loop shaping is shown in the implementation design response of battery management that the cost and reliability are improved. Moreover, this method could maintain the error steady state to be zero.

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A battery modular multilevel management system (BM3) for electric vehicles and stationary energy storage systems

Cited by 21 publications

References 10 publications

Online State of Charge Estimation of Lithium-Ion Cells Using Particle Filter-Based Hybrid Filtering Approach

Online State of Charge Estimation of Lithium-Ion Cells Using Particle Filter-Based Hybrid Filtering Approach

Optimization of a Cascaded H-Bridge Inverter for Electric Vehicle Applications Including Cost Consideration

Battery management system via bus network for multi battery electric vehicle

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