Inter national J our nal of P o wer Electr onics and Dri v e System (IJPEDS) V ol. 17, No. 3, September 2026, pp. 1620 ∼ 1629 ISSN: 2088-8694, DOI: 10.11591/ijpeds.v17.i3.pp1620-1629 ❒ 1620 L yapuno v contr oller design f or a fuel cell electric v ehicle po wer ed by a thr ee-le v el oating capacitor boost con v erter Chaouqi Aouadi 1,2 , Abdelmajid Abouloifa 1 , Meriem Aourir 3 , Ibtissam Lachkar 1 1 ESE Lab, ENSEM of Casablanca, Uni v ersity Hassan II, Casablanca, Morocco 2 Department of Electrical Engineering, ENSEM of Casablanca, Uni v ersity Hassan II, Casablanca, Morocco 3 LIME Lab, ISGA Casablanca, Edv antis Higher Education, Casablanca, Morocco Article Inf o Article history: Recei v ed Aug 9, 2025 Re vised Mar 24, 2026 Accepted Apr 23, 2026 K eyw ords: Boost con v erter Electric v ehicle Flying capacitor L yapuno v theorem Nonlinear controller Stability analysis ABSTRA CT Electric v ehicles (EVs) ha v e under gone considerable progress f acilitated by the adoption of contemporary technologies, such as inno v ati v e ener gy sources lik e the fuel cell (FC) in conjunction with no v el po wer con v erter architectures. In this conte xt, this w ork addresses the problem of controlling a three-le v el ying capacitor boost con v erter (FCBC) po wered by a fuel cell. The con v erter is link ed at its output to an im pedance modelling the DC/A C con v erter and a brushless motor inte grated into an FC-EV . V ariations in load demand and po wer pro vided by the fuel cell are an issue to be considered, alongside v oltage balancing, which in v olv es maintaining balanced v oltages between ying capacitors, as an imbalance can lead to une v en component v oltage and reduced con v erter ef cienc y . T o solv e these issues, a nonlinear controller is de v eloped making use of the L yapuno v approach which ensures the proper operation of the system by continuously adjusting control actions based on the system dynamics. Indeed, the re gulator comprises three loops: one dedicated to balancing the v oltage across the ying capacitor , and tw o nested loops; The inner loop controls the inductor current, while the outer loop re gulates the output v oltage. This is an open access article under the CC BY -SA license . Corresponding A uthor: Chaouqi Aouadi ESE Lab, ENSEM of Casablanca, Uni v ersity Hassan II Casablanca, Morocco Email: chaouqi.aouadi@uni vh2c.ma 1. INTR ODUCTION Sustainable ener gy sources, including pho t o v olt aic (PV) ener gy and h ydrogen ener gy , ha v e become a crucial el ement in social de v elopment. The need for clean ener gy-based systems is currently gro wing considerably [1]–[3], particularly in k e y sectors such as industry and transport. The latter has under gone a remarkable e v olution with t h e deplo yment of electric v ehicles (EV), replaci ng con v entional internal comb ustion engine v ehicles kno wn for their substantial emissions of greenhouse g ases. Electric v ehicles are systematically cate gorized based on the specic ener gy source that po wers their dri v e system [4]. When the automobile is po wered e xclusi v ely by a battery , it is referred to as a battery electric v ehicle (BEV). If, in addition to the battery , the electric v ehicle incorporat es a fuel cell or internal comb ustion engine, it is classied as a fuel cell electric v ehicle (FCEV) or h ybrid electric v ehicle (HEV), respecti v ely . Ener gy source, dri v etrain system, and po wer electronics with its control unit are the essential parts of an EV [5]. Fuel cell (FC) is one of the ener gy sources being promoted to be used alongside the batteries in FCEV . The v oltage supplied by proton e xchange membrane fuel cells (PEMFCs) inte grated into EVs is relati v ely lo w . T o o v ercome this issue, a J ournal homepage: http://ijpeds.iaescor e .com Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 ❒ 1621 DC/DC con v ersion interf ace w as added to increase the po wer at the terminals of the FC [6]. Man y DC/DC con v erter topologies are studied in the literature [7]–[10], and the y can be cate gorized into tw o groups. The rst group comprises classical con v erters such as the boost con v erter and the b uck con v erter . The second class includes multile v el po wer con v erters [9], [11], which of fer a high v oltage g ain [12]–[14] without using a high duty c ycle. This paper focuses on the study of the inte gration of a three-stage ying capacitor boost con v erter (FCBC) [15]–[17] in a fuel cell electric v ehicle. The FCBC is a v ariant of a multi-le v el boost con v erter that of fers se v eral adv antages compared with a con v entional boost chopper [17]. One o f the k e y benets i s a signicant increase in v oltage amplication due to the oating capacitor that stores ener gy and contrib utes to the amplication and transfer of ener gy from a PEM FC source to the load. It also of fers a small input inductance, which contrib utes to reducing its size [18]. The FCBC is suitable for adapting current and v oltage le v els from a lo w-v oltage source, b ut its control remains a challenge due to the zero dynamics [19]. Alongside re gulating the FCBC output v oltage, it is important to consider stabilizing the oating capaci tor v oltage. Inadequate stabilization results in high v oltage stress across po wer switches and increased po wer losses [15]. T o address this issue, se v eral methods for stabilizing oating capacitor v oltage ha v e been proposed [19]–[22]. The primary purpose of this paper is to propose a controller for a three-le v el FCBC used in FCEV that achie v es tw o objecti v es: – CO1: controlling the v oltage across the load; this objecti v e is accomplished through tw o cascaded loops: an internal loop re gulates the inductor current while an e xternal loop controls the output v oltage. – CO2: stabilizing the ying capacitor v oltage; this objecti v e is realized using a single control loop that enforces the ying capacitor v oltage to follo w its reference. This study contrib utes to the literature as follo ws: i) Designing a nonlinear controller based on lar ge signal non-linear model, unlik e other w orks that use linear methods for system modeling and controller synthesis [17]; and ii) The global stability of the system is demonstrated by mathematical tools and v alidated numerically by simulations, which conrm the rob ustness and ef fecti v eness of the controllers ag ainst disturbances and load v ariation. The remaining part of this w ork is or g anized as follo ws: i) The second section focuses on sys tem description and mathematical modeling; ii) Section 3 is dedicated to controller design; iii) Section 4 is de v oted to stability analysis; i v) A sim u l ation w as then carried out to v alidate the controller’ s ef fecti v eness in section 5; and v) A conclusion at the end of the paper . 2. SYSTEM DESCRIPTION AND MODELLING The h ybrid v ehicle sho wn in Figure 1 can be dri v en by tw o ener gy chains [23] and [24]. The rst consists of a lithium battery associated with a bidirectional DC/DC con v erter , while second consists of a fuel cell connected to a three-le v el boost con v erter presented in Figure 2. Both ener gy sources can pro vide po wer to the v ehicle’ s dri v e system, which consists of a DC/A C con v erter and a brushless motor . The fuel cell-boost con v erter association is subject of the study presented in this w ork. Indeed, from a topological point of vie w , the boost con v erter used in this st ud y considerably reduces the v oltage stress on the semiconductors, while from a control point of vie w , the system presents a challenge due to its comple x, non-linear , and h ybrid model. 2.1. Thr ee le v el FCBC modelling Figure 2 illustrates the diagram of three-le v el boost con v erter , po wered by a fuel cell and supplying an impedance Z L which is the do wnstream circuit formed by the brushless motor -con v erter combination. The circuit includes tw o unidirectional current semiconductors ( D 1 , D 2 ) with spontaneous switching and tw o bidirectional current semiconductors ( S 1 , S 2 ) with controlled switching by tw o binary signals ( µ 1 , µ 2 ) which are generated by phase shifted PWM (PSPWM) strate gy . The con v erter dynamics is represented by the well-kno wn a v erage model (1)–(3). where v in , i L , v c and v o denote re specti v ely , input v oltage, current through inductance L, the v oltage across oating capacitor C and output v oltage. The signals ( µ 1 , µ 2 ) are the switched control inputs. Control la w is de v eloped on the basis of the model gi v en in the (4)–(6), by respecting the follo wing v ariable change; x 1 = i L , x 2 = v c and x 3 = v o . L ˙ x 1 = v in + ( u 1 − u 2 ) x 2 − (1 − u 2 ) x 3 (1) L yapuno v contr oller design for a fuel cell electric vehicle power ed by a thr ee-le vel ... (Chaouqi Aouadi) Evaluation Warning : The document was created with Spire.PDF for Python.
1622 ❒ ISSN: 2088-8694 C ˙ x 2 = − ( u 1 − u 2 ) x 1 (2) C o ˙ x 3 = − i Z + (1 − u 2 ) x 1 (3) Figure 1. Fuel cell electric v ehicle Figure 2. Three-le v el ying capacitor boost con v erter 3. CONTR OLLER DESIGN This section is de v oted to the synthesis of a non-linear state feedback controller to simult aneously achie v e the abo v e-mentioned objecti v es. The controller t o be de v eloped has a cascade structure with nested loops. The inner control la ws re gulate the v oltage x 2 of the oating capacitor and the current x 1 at the con v erter input. The e xternal control la w guarantees the re gulation of the output v oltage. Direct re gulation of this latter is not possible, as the system has unstable zero dynamics. 3.1. Inner r egulator The internal re gulator consists of tw o control la ws. The rst re gulates the v oltage of the oating capacitor to reduce v oltage stress on the semi-conductors, while the second re gulates the fuel cell’ s current output to a v oid the problem of unstable zero dynamics. Both control subsystems e xhibit initial coupling, which will be addressed by decoupling in the re gulator to be de v eloped. 3.1.1. Fuel cell’ s curr ent contr ol Due to the non-minimum phase characteristics of t he system, the output v oltage x 3 is indirectly re gulated by controlling the current x 1 . The controller is made up of tw o nested loops; An inner control l oo p is used to re gulate the current x 1 , while an outer control loop is established to achie v e the re gulation of the output v oltage x 3 and to pro vide a current reference x ∗ 1 . Based on subsystem (1), an error between current x 1 and its reference x ∗ 1 can be dened as z 1 = L ( x 1 − x ∗ 1 ) . Using subsystem (1), the dynamics of z L is gi v en as (4). ˙ z 1 = v in + ( u 1 − u 2 ) x 2 − (1 − u 2 ) x 3 − r x 1 − L ˙ x ∗ 1 (4) T o guaranty the asymptotic stability of the system one dened a positi v e L yapuno v function v 2 = 1 2 z 2 1 , it’ s dynamic is gi v en by (5). ˙ v 2 = z 1 ( v in + ( u 1 − u 2 ) x 2 − (1 − u 2 ) x 3 − r x 1 − L ˙ x ∗ 1 ) (5) T o mak e the L yapuno v function dynamics ne g ati v e, one chooses the (6). v in + ( u 1 − u 2 ) x 2 − (1 − u 2 ) x 3 − r x 1 − L ˙ x ∗ 1 = − k L z 1 (6) W ith k L is a positi v e design parameter . Re writing (6), the input control u 2 is gi v en by the (7). u 2 = 1 x 3 − x 2 ( x 3 − v in − u 1 x 2 + r x 1 + L ˙ x ∗ 1 − k L z 1 ) (7) Hence, in (4) and (5) become: ˙ z 1 = − k L z 1 and ˙ v 1 = − k L z 2 1 < 0 . Int J Po w Elec & Dri Syst, V ol. 17, No. 3, September 2026: 1620–1629 Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 ❒ 1623 3.1.2. Flying capacitor v oltage r egulation F or the FCBC to w ork correctly , it is crucial to maintain the v oltage across FC at half of the output v oltage x 3 , re g ardless of the operating conditions of the system. Theref ore, L yapuno v’ s theorem is used to design the output v oltage controller x 2 . T aking the tracking error as the dif ference between the actual signal x 2 and the desired reference x ∗ 2 = x 1 2 . z 2 = C ( x 2 − x ∗ 2 ) (8) Using the subsystem (2), the error dynamics z c can be e xpressed as (9). ˙ z 2 = − ( u 1 − u 2 ) x 1 − C ˙ x ∗ 2 (9) Re g arding the L yapuno v function v 1 = 1 2 z 2 2 and its deri v ati v e ˙ v 1 = z 2 ˙ z 2 , the choice ˙ z 2 = − K C z 2 , mak es the L yapuno v function v 1 to be ne g ati v e as gi v en by (10). ˙ v 1 = − K C z 2 2 (10) Where K C ϵ R + is the adjustment parameter . Replacing the dynamic of z 2 by its e xpression, the control la w u 1 for the subsystem (2) is constructed as (11). u 1 = 1 x 1 ( K C z 2 − C ˙ x ∗ 2 ) + u 2 (11) Solving the system of equations formed by (7) and (11) leads to the control la ws (12) and (13). u 1 = 1 + ( K C z 2 − C ˙ x ∗ 2 ) x 3 − x 2 x 1 x 3 + 1 x 3 ( r x 1 − v in + L ˙ x ∗ 1 − k L z 1 ) (12) u 2 = 1 + 1 x 3 − v in − x 2 x 1 ( K C z 2 − C ˙ x ∗ 2 ) + r x 1 + L ˙ x ∗ 1 − k L z 1 (13) 3.2. Outer v oltage r egulator The purpose of this loop is to force the squared output v olt age to track a desired signal x ∗ 3 2 . T o achie v e this, a PI-type re gulator is used. Its output will serv e as the reference signal for the inner loop. Assumption 1: i) It is assumed that the state v ariables x 1 and x 2 e xhibit f aster dynamics compared to x 3 . Consequently , the y will quickly reach their respecti v e reference v alues x ∗ 1 and x ∗ 2 = x 3 2 , leading to the con v er gence of errors ( z 1 , z 2 ) to zero; ii) The dynamics of the state v ariables x 1 and x 2 are assumed to be ne gligible, implying that u 1 = u 2 ; and iii) The parasitic parameter r is assumed to be small. T o design this loop, a relationship is establis hed between the DC output v oltage x 3 and the virtual control input x ∗ 1 . By substituting the control la w u 2 from (11) into (3) and considering Assumption 1, one gets (14). C o 2 dx 2 3 dt = − x 3 i Z + v in x ∗ 1 (14) The controller input of the system (3) is chosen as (15). x ∗ 1 = α ( t ) + x 3 i Z v in (15) Where: α ( t ) = k p z 3 + 1 τ i z 4 (16) is a signal gi v en by the PI-controller . W ith in (17) and (18). z 3 = ( x ∗ 3 ) 2 − x 2 3 (17) L yapuno v contr oller design for a fuel cell electric vehicle power ed by a thr ee-le vel ... (Chaouqi Aouadi) Evaluation Warning : The document was created with Spire.PDF for Python.
1624 ❒ ISSN: 2088-8694 z 4 = z 3 dτ (18) The closed loop transfer function of the system (23) is gi v en by (19). H ( p ) = 1 + τ i p 1 + τ i p + τ i C o 2 k p p 2 (19) Where τ i , k p are the design parameters to be determined. Comparing the transfer function (19) with the standard second-order transfer function, the PI parameters can be obtained as: τ i = 2 m ω 0 , k p = mC o ω 0 . where m and ω 0 are the damping coef cient and natural frequenc y of the system, respecti v ely . T o comply with Assumption 1, the parameters m and ω 0 are selected such that the dynamics of the inner loop are twice as f ast as the dynamics of the outer loop. 4. ST ABILITY AN AL YSIS Stability theory is fundamental to dynamical systems theory and essential for e v aluating the characteristics of a closed-loop system with it s controller . V arious techniques and theories e xist in the literature for analyzing system stability [25], [26], including the indirect L yapuno v method and the Routh-Hurwitz criterion. Based on these theorems, we will demonstrate that the designed controllers meet the dened control objecti v es. The dynamic beha vior of the feedback control system can be described by the state v ector (20) in the z 1 z 2 z 3 z 4 coordinates: ˙ Z = ˙ z 1 ˙ z 2 ˙ z 3 ˙ z 4 T (20) where, ˙ z 1 = − k L z 1 , ˙ z 2 = − K C z 2 , ˙ z 3 = − c 1 z 1 + c 2 z 2 + c 3 z 3 + c 4 z 4 − c 5 z 2 1 + c 6 z 2 2 − c 7 − ˙ x 2 3 , ˙ z 4 = z 3 and c 1 = − 2 v in LC o − 2 r x ∗ 1 LC o + k L x ∗ 1 C o , c 2 = 2 K C x ∗ 2 C o , c 3 = 2 k p C o , c 4 = 2 k p C o τ i , c 5 = − 2 − r C o L 2 + k L C o L , c 6 = 2 K C C C o , c 7 = 2 r C o x ∗ 1 2 The system (20) is nonlinear and has the equilibrium points gi v en by (21). Z 0 = 0 0 0 τ i r k p x ∗ 1 2 T (21) T o analyze the stability of the equilibrium Z 0 indirect L yapuno v technique ha v e been used [27]. This in v olv es checking whether the Jacobian matrix (22) of the state model (20), at Z 0 is Hurwitz. J = ⎛ ⎜ ⎜ ⎝ − c 2 0 0 0 0 − c 1 0 0 c 1 0 − c 2 0 − c 3 1 − c 4 0 ⎞ ⎟ ⎟ ⎠ (22) The equilibrium Z 0 will be asymptotically stable if the Jacobian matrix (22) is Hurwitz. This requires pro ving that the real part of the eigen v alues of the follo wing characteristic equation is ne g ati v e R e ( λ i ) < 0 [26]: π J = λ 4 + a 0 λ 3 + a 1 λ 2 + a 2 λ + a 3 (23) where, a 0 = c 1 + c 2 + 2 k p C o , a 1 = c 1 c 2 + 2 k p c 2 C o + 2 k p C o τ i + 2 k p c 1 C o a 2 = 2 k p K C C o τ i + 2 k p k L K C C o + 2 k p k L C o τ i , a 3 = 2 k p K C k L C o τ i Using Routh’ s algebraic criterion, it appears that all zeros of the characteristic polynomial in (23) ha v e ne g ati v e real parts if the follo wing conditions ( a 0 a 1 − a 2 a 0 > 0 , a 0 ( a 1 a 2 − a 0 a 3 ) a 0 a 1 − a 2 > 0 , a 3 > 0 ) are satised. Gi v en these conditions, the matrix J is a Hurwitz matrix. According to the indirect L yapuno v method, the equilibrium Z 0 of the system (29) is asymptotically stable. Int J Po w Elec & Dri Syst, V ol. 17, No. 3, September 2026: 1620–1629 Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 ❒ 1625 5. SIMULA TION RESUL TS The controller performance w as v alidated through simulations of the po wer system and the control unit, as illustrated in Figure 3 using MA TLAB-Simulink. The parameters for the entire system used in the simulation are pro vided in T ables 1 and 2. Three test protocols were emplo yed for the simulation: i) Normal operation mode: Initially , the system’ s performance w as e v aluated under normal operating conditions, assuming no changes to the o v erall system parameters; ii) Output v oltage reference V ariation: In the second test, a v ariation in the output v oltage reference w as introduced to assess the system’ s response to changes in the desired output v oltage; and iii) Load v ariation: In the nal test, a load v ariation w as applied to e v aluate the rob ustness of the system. E q  17 & 18 E q  12& 13 Figure 3. System structure in MA TLAB/Simulink T able 1. System parameters Item Symbol V alue Unit DC source E 100 V Current inductance L 500 H P arasitic resistance r 2 Ω Floating capacitor C f c 100 µ F Output capacitor C o 100 µ F Load R 40 Ω Switching frequenc y f sw 20 k H z T able 2. Controller parameters Item Symbol V alue Unit PI coef cients ω 0 312 rad/s m 4 − K p 0.833 mA.V − 2 τ i 0.833 A.V − 2 .s − 1 Output v oltage re gulator coef cient k L 18000 − Floating capacitor v oltage re gulator coef cient k c 18000 − Routh Hurwitz coef cients a 0 66100 − a 1 1 . 0706 × 10 9 − a 2 1 . 0706 × 10 11 − a 3 1 . 0640 × 10 13 − 5.1. Operation under normal mode The system’ s response in normal operation is depicted in Figures 4–6. These gures illustrate that the inductance current i L , ying capacitor v oltage v c and the output v oltage v o , are well re gulated to their reference v alues. Where, Figure 4 sho ws the inductance current tracking its reference v alue with minimal de viation, indicating that the inner control loop ef fecti v ely maintains the desired current le v el. This precise control ensures that the current supplied to the load rema ins stable, contrib uting to the o v erall stability of the L yapuno v contr oller design for a fuel cell electric vehicle power ed by a thr ee-le vel ... (Chaouqi Aouadi) Evaluation Warning : The document was created with Spire.PDF for Python.
1626 ❒ ISSN: 2088-8694 po wer system. Figure 5 sho ws the v oltage across t he ying capacitor . The plot demonstrates that the ying capacitor v oltage is consistently re gulated, reecting the controller’ s ability to manage the v oltage stres s on the semiconductors ef fecti v ely . Proper re gulation of the ying capacitor v ol tage is crucial for the longe vity and reliability of the po wer -electronic components within the s ystem. Figure 6 highlights the output v oltage v o , sho wing its stable tracking of the reference v oltage. 0 0.005 0.01 0.015 0.02 Time (S) 10 20 30 40 50 Current (A) i L i L * Figure 4. Inductance current i L and its reference 0 0.005 0.01 0.015 0.02 Time (s) 0 20 40 60 80 Voltage (V) v C v C * Figure 5. FC v oltage v c and its reference 5.2. Rob ustness tests under parameter output v oltage r efer ence v ariation Figures 7–9 sho w the simulation results for a step change in the reference output v oltage v o . The reference v oltage is altered from 100 V to 140 V at time t 1 = 20 ms and from 140 V back to 100 V at t 2 = 40 ms . Despite these abrupt changes, the gures demonstrate that the signals i L , v c and v o closely follo w their respecti v e reference v alues, Figure 7 illustrates the response of the inductance current i L , which adapts rapidly to the ne w reference v alues. The control system ef fecti v ely manages the transit ion, ensuring that the current remains stable and within the desired range. This rapid adjustment indicates the inner loop’ s rob ustness and its ability to handle sudden changes without signicant o v ershot or oscillation. Figure 8 sho ws the v oltage across the ying capacitor v c . The plot re v eals that the ying capacitor v oltage quickly stabilizes after each change in the reference output v oltage, highlighting the controller’ s ef cienc y in managing v oltage stress. This capability is crucial for maintaining the reliability of the po wer electronic components, as it pre v ents e xcessi v e v oltage v ariations that could potentially harm the system. Figure 9 focuses on the output v oltage v o , demonstrating its precise tracking of the reference v oltage throughout the changes. The controller successfully adjusts the output v oltage to the ne w reference v alues with minimal delay . 0 0.005 0.01 0.015 0.02 Time (s) 0 50 100 150 Voltage (V) v o v o * Figure 6. Output v oltage v o and its reference 0 0.02 0.04 0.06 Times (S) 0 10 20 30 40 50 Current (A) i L i L * Figure 7. Inductance current i L and its reference 0 0.01 0.02 0.03 0.04 0.05 0.06 Times (S) 0 20 40 60 Voltage (V) v c v c * Figure 8. FC v oltage v c and its reference 0 0.01 0.02 0.03 0.04 0.05 0.06 Time (S) 0 50 100 150 200 Voltage (V) v o v o * Figure 9. FC v oltage v c and its reference Int J Po w Elec & Dri Syst, V ol. 17, No. 3, September 2026: 1620–1629 Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 ❒ 1627 5.3. Rob ustness tests under load v ariation In the third test, the load under goes v ariation from 40 Ω to 20 Ω at t 1 = 20 ms and from 20 Ω to 10 Ω at the time t 2 = 40 ms . The results of the test are sho wn in Figures 10 and 11. These gures demonstr ate that the proposed controller successfully maintains the inductance current i L and the output v oltage v c at their reference v alues despite the signicant change in resisti v e load. Figure 10 displays the response of the inductance current i L . Ev en with the sudden decrease in load resistance, the inductance current closely follo ws its reference v alue, sho wcasing the controller’ s ability to adapt t o changes in the load. Figure 11 sho ws the ying capacitor v oltage v c . The plot indicates that v c stays balanced despite the changes in load resistance, highlighti n g the control ler’ s capability to maintain v oltage stability across the ying capacitor . Figure 10. Inductance current i L and its reference under parameter v ariations 0 0.01 0.02 0.03 0.04 0.05 0.06 Time (s) 0 20 40 60 80 Voltage (V) v c v c * Figure 11. FC v oltage v c and its reference under parameter v ariations 6. CONCLUSION This w ork presents the control of a three-le v el ying capacitor boost con v erter inte grated into a h ybrid electric v ehicle po wered by a fuel cell. The proposed controller features an inter nal loop des igned to re gulate the input current and balance the oating capacitor v oltage, de v eloped using the L yapuno v technique. Additionally , an e xternal loop re gulates the output v oltage and pro vides a suitable reference for the inductor current. The stability analysis conducted in this w ork has v eried that the control objecti v es are ef fecti v ely achie v ed. Simulation results ha v e v alidated the controllers rob ustness ag ainst load v ariations and changes in the output v oltage reference, these ndings corroborate the theoretical results and demonstrate the practical ef fecti v eness of the proposed control strate gy . In conclusion, the de v eloped controller impro v es the operational stability and ef cienc y of the three-le v el ying capacitor boost con v erter in a h ybrid electric v ehicle conte xt. The study contrib utes v aluable insights into adv anced control techniques for po wer electronics applications, pa ving the w ay for further adv ancements in h ybrid v ehicle technologies. FUNDING INFORMA TION This research recei v ed no e xternal funding. A UTHOR CONTRIB UTIONS ST A TEMENT This journal uses the Contrib utor Roles T axonomy (CRediT) to recognize indi vidual author contrib utions, reduce authorship disputes, and f acilitate collaboration. Name of A uthor C M So V a F o I R D O E V i Su P Fu Chaouqi Aouadi ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ Abdelmajid Abouloif a ✓ ✓ ✓ ✓ ✓ ✓ ✓ Meriem Aourir ✓ ✓ ✓ ✓ ✓ Ibtissam Lachkar ✓ ✓ ✓ ✓ C : C onceptualization I : I n v estig ation V i : V i sualization M : M ethodology R : R esources Su : Su pervision So : So ftw are D : D ata Curation P : P roject Administration V a : V a lidation O : Writing - O riginal Draft Fu : Fu nding Acquisition F o : F o rmal Analysis E : Writing - Re vie w & E diting L yapuno v contr oller design for a fuel cell electric vehicle power ed by a thr ee-le vel ... (Chaouqi Aouadi) Evaluation Warning : The document was created with Spire.PDF for Python.
1628 ❒ ISSN: 2088-8694 CONFLICT OF INTEREST ST A TEMENT The authors declare no conict of interest. D A T A A V AILABILITY Data supporting the ndings of this study are a v ailable in the article. More information is a v ailable from the corresponding authors upon reasonable request. REFERENCES [1] Q. Xu, W . Jiang, F . Blaabjer g, C. Zhang, X. Zhang, and T . Fernando, “Backste pping control for lar ge signal stability of high boost ratio interlea v ed con v erter interf aced DC microgrids with constant po wer loads, ” IEEE T r ansactions on P ower Electr onics , v ol. 35, no. 5, pp. 5397–5407, May 2020, doi: 10.1109/TPEL.2019.2943889. [2] Y .-C. Jeung, D. D. Le, and D.-C. Lee, “ Analysis and design of DC-b us v oltage controller of ener gy storage systems in dc microgrids, ” IEEE Access , v ol. 7, pp. 126696–126708, 2019, doi: 10.1109/A CCESS.2019.2939176. [3] M . Aourir , A. Abouloif a, I. Lachkar , C. Aouadi, F . Giri, and J. M. 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Int J Po w Elec & Dri Syst ISSN: 2088-8694 ❒ 1629 [22] B. P . McGrath and D. G. Holmes, “ Analytical modelling of v oltage balance dynamics for a ying capacitor multile v el con v erter , ” IEEE T r ansactions on P ower Electr onics , v ol. 23, no. 2, pp. 543–550, Mar . 2008, doi: 10.1109/TPEL.2007.915175. [23] C. Feng, J. Liang, and V . G. Agelidis, “Modied phase-shifted PWM control for ying capacitor multile v el con v erters, ” IEEE T r ansactions on P ower Electr onics , v ol. 22, no. 1, pp. 178–185, Jan. 2007, doi: 10.1109/TPEL.2006.886600. [24] A. B. Aher , S. M. P atil, and T . Sutikno, “Design and de v elopment of model for proton e xchange membrane fuel cell, ” International J ournal of P ower Electr onics and Drive Systems , v ol. 15, no. 2, pp. 1061–1071, 2024, doi: 10.11591/ijpeds.v15.i2.pp1061-1071. [25] C. W ang, M. H. Nehrir , and S. Sha w , “Dynam ic models and model v alidation for pem fuel cells using electrical circuits, ” in IEEE P ower Engineering Society Gener al Meeting , 2005, IEEE, 2005, pp. 1000–1000. doi: 10.1109/PES.2005.1489284. [26] H. K. Khalil, Nonlinear c ontr ol . in Al w ays Learning. Pearson, 2015. [Online]. A v ailable: https://books.google.co.id/books?id=-WbjoAEA CAAJ. [27] G. A. Hernandez-Castorena, M. A. Alcorta-Garcia, J. A. Saenz-Esqueda, and G. M. Mendez , “L yapuno v’ s stability analysis for rst de gree polynomial systems, subject to risk-sensiti v e control, ” Mathematics and Computer s in Simulation , v ol. 226, pp. 464–473, 2024, doi: 10.1016/j.matcom.2024.07.006. BIOGRAPHIES OF A UTHORS Chaouqi Aouadi holds his Ph.D. de gree in control engine ering and rene w able ener gies in 2018 and a Master de gree in information processing in 2014 from the F aculty of Science Ben M’ sick, Hassan II Uni v ersity . He is currently profess or with the department of Electrical Engineering at National High school of electricity and Mechanics (ENSEM) at Hassan II uni v ersity of Casablanca, Morocco. His research areas of i nterest include po wer con v erter , nonlinear control and articial intelligent. He can be contacted at email: c.aouadi@ensem.ac.ma or chaouqi.aouadi@uni vh2c.ma. Abdelmajid Abouloifa recei v ed the Aggre g ation of Electrical Engineering from Normal High School, Rabat, Morocco, in 1999, and Ph.D. de gree in control engineering from the Uni v ersity of Caen Basse-Normandie, Caen, France and from Moham med V Uni v ersity , Rabat, Moroc co in 2008.He is currently Professor at the National High School for Electricity and mechanics (ENSEM), Uni v ersity Hassan II, Casablanca,Morocco. His research interests include high frequenc y po wer con v erter topologies, po wer -f actor -correction techniques, po wer supplies, and nonlinear control. He can be contacted at email: a.abouloif a@gmail.com. Meriem Aourir recei v ed her Ph.D. de gree in in the eld of automatic, rene w able ener gy , Po wer electronics in 2021 and she has got master de gree in information processing from F aculty of Science Ben M’ sik, Uni v ersity of Hassan II Casablanca in 2015. Currently , she is a permanent professor in Higher Institute of engineering and b usines. She can be contacted at email: meriem.aourir@gmail.com. Ibtissam Lachkar recei v ed the graduate de gree from the Normal High School of T echnical Education, Rabat, Morocco, in 1995, the de gree in high depth studies from the Mohammadia School of Engineers, Rabat, in 2005, and the Ph.D. de gree from the Mohammadia School of Engineers. Currently , she is a professor at the National High School for Electricity and mechanics (ENSEM), Hassan II Uni v ersity of Casablanca. Her research interests include modeling, nonlinear control, po wer con v erters, uninterruptible po wer supplies, and photo v oltaic systems and drones. She can be contacted at email: lachkaribtissam@gmail.com. L yapuno v contr oller design for a fuel cell electric vehicle power ed by a thr ee-le vel ... (Chaouqi Aouadi) Evaluation Warning : The document was created with Spire.PDF for Python.